Mercurial > repos > galaxyp > cardinal_classification

annotate classification.xml @ 6:e74f4b0bca6e draft

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"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 15e24b1f0143679647906bc427654f66b417a45c"
author galaxyp
date Wed, 25 Mar 2020 09:23:34 +0000
parents a7204db5e3a4
children 161fa352fccb
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1 <tool id="cardinal_classification" name="MSI classification" version="@VERSION@.3">
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2 <description>spatial classification of mass spectrometry imaging data</description>
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3 <macros>
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4 <import>macros.xml</import>
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5 </macros>
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6 <expand macro="requirements">
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7 <requirement type="package" version="3.0">r-ggplot2</requirement>
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8 <requirement type="package" version="2.3">r-gridextra</requirement>
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9 <requirement type="package" version="0.20_35">r-lattice</requirement>
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10 </expand>
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11 <command detect_errors="exit_code">
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12 <![CDATA[
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14 @INPUT_LINKING@
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15 cat '${MSI_segmentation}' &&
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16 Rscript '${MSI_segmentation}'
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18 ]]>
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19 </command>
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20 <configfiles>
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21 <configfile name="MSI_segmentation"><![CDATA[
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24 ################################# load libraries and read file #########################
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26 library(Cardinal)
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27 library(gridExtra)
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28 library(lattice)
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29 library(ggplot2)
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30
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31 @READING_MSIDATA_INRAM@
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34 ## remove duplicated coordinates
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35 msidata <- msidata[,!duplicated(coord(msidata))]
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36
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37 @DATA_PROPERTIES_INRAM@
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38
0
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40 ######################################## PDF ###################################
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41 ################################################################################
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42 ################################################################################
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44 Title = "Prediction"
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46 #if str( $type_cond.type_method) == "training":
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47
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48 Title = "$type_cond.method_cond.class_method"
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49 #end if
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51 pdf("classificationpdf.pdf", fonts = "Times", pointsize = 12)
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52 plot(0,type='n',axes=FALSE,ann=FALSE)
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55 title(main=paste0(Title," for file: \n\n", "$infile.display_name"))
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58 ##################### I) numbers and control plots #############################
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59 ###############################################################################
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61 ## table with values
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62 grid.table(property_df, rows= NULL)
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64
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65 if (npeaks > 0 && sum(is.na(spectra(msidata)))==0){
0
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67 opar <- par()
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68
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69 ######################## II) Training #############################
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70 #############################################################################
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71 #if str( $type_cond.type_method) == "training":
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72 print("training")
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75 ## load y response (will be needed in every training scenario)
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77 y_tabular = read.delim("$type_cond.annotation_file", header = $type_cond.tabular_header, stringsAsFactors = FALSE)
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79 #if str($type_cond.column_fold) == "None":
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80 y_input = y_tabular[,c($type_cond.column_x, $type_cond.column_y, $type_cond.column_response)]
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81 #else
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82 y_input = y_tabular[,c($type_cond.column_x, $type_cond.column_y, $type_cond.column_response, $type_cond.column_fold)]
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83 #end if
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84
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85 colnames(y_input)[1:2] = c("x", "y")
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86 ## merge with coordinate information of msidata
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87 msidata_coordinates = cbind(coord(msidata)[,1:2], c(1:ncol(msidata)))
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88 colnames(msidata_coordinates)[3] = "pixel_index"
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89 merged_response = merge(msidata_coordinates, y_input, by=c("x", "y"), all.x=TRUE)
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90 merged_response[is.na(merged_response)] = "NA"
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91 merged_response = merged_response[order(merged_response\$pixel_index),]
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92 y_vector = as.factor(merged_response[,4])
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93
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94 ## plot of y vector
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95
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96 position_df = cbind(coord(msidata)[,1:2], y_vector)
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97 y_plot = ggplot(position_df, aes(x=x, y=y, fill=y_vector))+
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98 geom_tile() +
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99 coord_fixed()+
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100 ggtitle("Distribution of the response variable y")+
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101 theme_bw()+
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102 theme(text=element_text(family="ArialMT", face="bold", size=15))+
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103 theme(legend.position="bottom",legend.direction="vertical")+
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104 guides(fill=guide_legend(ncol=4,byrow=TRUE))
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105 coord_labels = aggregate(cbind(x,y)~y_vector, data=position_df, mean, na.rm=TRUE, na.action="na.pass")
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106 coord_labels\$file_number = gsub( "_.*$", "", coord_labels\$y_vector)
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107 print(y_plot)
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108
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109
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110 ## plot of folds
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111
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112 #if str($type_cond.column_fold) != "None":
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113 fold_vector = as.factor(merged_response[,5])
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114
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115
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116 position_df = cbind(coord(msidata)[,1:2], fold_vector)
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117 fold_plot = ggplot(position_df, aes(x=x, y=y, fill=fold_vector))+
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118 geom_tile() +
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119 coord_fixed()+
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120 ggtitle("Distribution of the fold variable")+
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121 theme_bw()+
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122 theme(text=element_text(family="ArialMT", face="bold", size=15))+
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123 theme(legend.position="bottom",legend.direction="vertical")+
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124 guides(fill=guide_legend(ncol=4,byrow=TRUE))
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125 coord_labels = aggregate(cbind(x,y)~fold_vector, data=position_df, mean, na.rm=TRUE, na.action="na.pass")
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126 coord_labels\$file_number = gsub( "_.*$", "", coord_labels\$fold_vector)
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127 print(fold_plot)
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128
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129 #end if
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130
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131 ######################## PLS #############################
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132 #if str( $type_cond.method_cond.class_method) == "PLS":
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133 print("PLS")
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134
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135 ######################## PLS - CV #############################
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136 #if str( $type_cond.method_cond.analysis_cond.PLS_method) == "cvapply":
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137 print("PLS cv")
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138
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139 ## set variables for components and number of response groups
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140 components = c($type_cond.method_cond.analysis_cond.plscv_comp)
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141 number_groups = length(levels(y_vector))
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142
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143 ## PLS-cvApply:
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144 msidata.cv.pls <- cvApply(msidata, .y = y_vector, .fold = fold_vector, .fun = "PLS", ncomp = components)
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145
2
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146 ## remove msidata to clean up RAM space
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147 rm(msidata)
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148 gc()
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149
0
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150 ## create table with summary
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151 count = 1
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152 summary_plscv = list()
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153 accuracy_vector = numeric()
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154 for (iteration in components){
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155 summary_iteration = summary(msidata.cv.pls)\$accuracy[[paste0("ncomp = ", iteration)]]
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156 ## change class of numbers into numeric to round and calculate mean
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157 summary_iteration2 = round(as.numeric(summary_iteration), digits=2)
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158 summary_matrix = matrix(summary_iteration2, nrow=4, ncol=number_groups)
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159 accuracy_vector[count] = mean(summary_matrix[1,]) ## vector with accuracies to find later maximum for plot
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160 summary_iteration3 = cbind(rownames(summary_iteration), summary_matrix) ## include rownames in table
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161 summary_iteration4 = t(summary_iteration3)
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162 summary_iteration5 = cbind(c(paste0("ncomp = ", iteration), colnames(summary_iteration)), summary_iteration4)
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163 summary_plscv[[count]] = summary_iteration5
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164 count = count+1} ## create list with summary table for each component
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165 summary_plscv = do.call(rbind, summary_plscv)
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166 summary_df = as.data.frame(summary_plscv)
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167 colnames(summary_df) = NULL
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168
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169 ## plots
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170 ## plot to find ncomp with highest accuracy
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171 plot(components, accuracy_vector, ylab = "mean accuracy",type="o", main="Mean accuracy of PLS classification")
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172 ncomp_max = components[which.max(accuracy_vector)] ## find ncomp with max. accuracy
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173 ## one image for each sample/fold, 4 images per page
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174 minimumy = min(coord(msidata.cv.pls)[,2])
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175 maximumy = max(coord(msidata.cv.pls)[,2])
4
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176 image(msidata.cv.pls, model = list(ncomp = ncomp_max),ylim= c(maximumy+0.2*maximumy,minimumy-0.2*minimumy),layout = c(1, 1))
0
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177
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178 ## print table with summary in pdf
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179 par(opar)
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180 plot(0,type='n',axes=FALSE,ann=FALSE)
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181 title(main="Summary for the different components\n", adj=0.5)
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182 ## 20 rows fits in one page:
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183 if (nrow(summary_df)<=20){
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184 grid.table(summary_df, rows= NULL)
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185 }else{
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186 grid.table(summary_df[1:20,], rows= NULL)
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187 mincount = 21
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188 maxcount = 40
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189 for (count20 in 1:(ceiling(nrow(summary_df)/20)-1)){
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190 plot(0,type='n',axes=FALSE,ann=FALSE)
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191 if (maxcount <= nrow(summary_df)){
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192 grid.table(summary_df[mincount:maxcount,], rows= NULL)
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193 mincount = mincount+20
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194 maxcount = maxcount+20
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195 }else{### stop last page with last sample otherwise NA in table
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196 grid.table(summary_df[mincount:nrow(summary_df),], rows= NULL)}
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197 }
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198 }
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199
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200 ## optional output as .RData
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201 #if $output_rdata:
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202 save(msidata.cv.pls, file="$classification_rdata")
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203 #end if
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204
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205
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206 ######################## PLS - analysis ###########################
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207 #elif str( $type_cond.method_cond.analysis_cond.PLS_method) == "PLS_analysis":
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208 print("PLS analysis")
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209
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210 ## set variables for components and number of response groups
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211 component = c($type_cond.method_cond.analysis_cond.pls_comp)
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212 number_groups = length(levels(y_vector))
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213
4
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214 ### stop if multiple values for PLS components are selected what sets component to 0
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215 tryCatch(
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216 {
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217
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218 if (component==0)
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219 {
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220 stop(call.=FALSE)
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221 }
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222 },
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223 error=function(cond) {
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224 ## in case user used multiple inputs for component - this is only possible in cv apply
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225 message("Error during PLS training")
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226 message("Possible problems: Multiple values for component were selected - this is only possible in cvapply but not for PLS analysis or component was set to 0 but minimum for component is 1)")
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227 stop(call.=FALSE)
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228 }
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229 )
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230
0
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231 ### pls analysis and coefficients plot
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232 msidata.pls <- PLS(msidata, y = y_vector, ncomp = component, scale=$type_cond.method_cond.analysis_cond.pls_scale)
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233 plot(msidata.pls, main="PLS coefficients per m/z")
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234
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235 ### summary table of PLS
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236 summary_table = summary(msidata.pls)\$accuracy[[paste0("ncomp = ",component)]]
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237 summary_table2 = round(as.numeric(summary_table), digits=2)
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238 summary_matrix = matrix(summary_table2, nrow=4, ncol=number_groups)
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239 summary_table3 = cbind(rownames(summary_table), summary_matrix) ## include rownames in table
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240 summary_table4 = t(summary_table3)
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241 summary_table5 = cbind(c(paste0("ncomp = ", component), colnames(summary_table)), summary_table4)
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242 plot(0,type='n',axes=FALSE,ann=FALSE)
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243 grid.table(summary_table5, rows= NULL)
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244
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245 ### image of the best m/z
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246 minimumy = min(coord(msidata)[,2])
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247 maximumy = max(coord(msidata)[,2])
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248 print(image(msidata, mz = topLabels(msidata.pls)[1,1], normalize.image = "linear", contrast.enhance = "histogram",ylim= c(maximumy+0.2*maximumy,minimumy-0.2*minimumy), smooth.image="gaussian", main="best m/z heatmap"))
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249
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250 ### m/z and pixel information output
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251 pls_classes = data.frame(msidata.pls\$classes[[1]])
3
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252 ## pixel names and coordinates
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253 ## to remove potential sample names and z dimension, split at comma and take only x and y
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254 x_coords = unlist(lapply(strsplit(names(pixels(msidata)), ","), `[[`, 1))
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255 y_coords = unlist(lapply(strsplit(names(pixels(msidata)), ","), `[[`, 2))
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256 x_coordinates = gsub("x = ","",x_coords)
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257 y_coordinates = gsub(" y = ","",y_coords)
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258 pixel_names = paste0("xy_", x_coordinates, "_", y_coordinates)
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259
2
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260 ## remove msidata to clean up RAM space
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261 rm(msidata)
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262 gc()
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263 pls_classes2 = data.frame(pixel_names, x_coordinates, y_coordinates, pls_classes)
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264 colnames(pls_classes2) = c("pixel names", "x", "y","predicted condition")
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265 pls_toplabels = topLabels(msidata.pls, n=Inf)
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266 pls_toplabels[,4:6] <-round(pls_toplabels[,4:6],6)
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267 write.table(pls_toplabels, file="$mzfeatures", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
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268 write.table(pls_classes2, file="$pixeloutput", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
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269
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270 ## image with predicted classes
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271 prediction_df = cbind(coord(msidata.pls)[,1:2], pls_classes)
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272 colnames(prediction_df) = c("x", "y", "predicted_classes")
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273
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274 prediction_plot = ggplot(prediction_df, aes(x=x, y=y, fill=predicted_classes))+
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275 geom_tile() +
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276 coord_fixed()+
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277 ggtitle("Predicted condition for each pixel")+
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278 theme_bw()+
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279 theme(text=element_text(family="ArialMT", face="bold", size=15))+
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280 theme(legend.position="bottom",legend.direction="vertical")+
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281 guides(fill=guide_legend(ncol=4,byrow=TRUE))
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282 coord_labels = aggregate(cbind(x,y)~predicted_classes, data=prediction_df, mean, na.rm=TRUE, na.action="na.pass")
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283 coord_labels\$file_number = gsub( "_.*$", "", coord_labels\$predicted_classes)
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284 print(prediction_plot)
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285
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286 ### optional output as .RData
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287 #if $output_rdata:
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288 save(msidata.pls, file="$classification_rdata")
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289 #end if
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290
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291 #end if
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292
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293 ######################## OPLS #############################
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294 #elif str( $type_cond.method_cond.class_method) == "OPLS":
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295 print("OPLS")
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296
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297 ######################## OPLS -CV #############################
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298 #if str( $type_cond.method_cond.opls_analysis_cond.opls_method) == "opls_cvapply":
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299 print("OPLS cv")
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300
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301 ## set variables for components and number of response groups
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302 components = c($type_cond.method_cond.opls_analysis_cond.opls_cvcomp)
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303 number_groups = length(levels(y_vector))
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304
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305 ## OPLS-cvApply:
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306 msidata.cv.opls <- cvApply(msidata, .y = y_vector, .fold = fold_vector, .fun = "OPLS", ncomp = components)
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307 ## for use to reduce msidata: keep.Xnew = $type_cond.method_cond.opls_analysis_cond.xnew_cv
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308
2
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309 ## remove msidata to clean up RAM space
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310 rm(msidata)
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311 gc()
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312
0
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313 ## create table with summary
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314 count = 1
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315 summary_oplscv = list()
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316 accuracy_vector = numeric()
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317 for (iteration in components){
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318
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319 summary_iteration = summary(msidata.cv.opls)\$accuracy[[paste0("ncomp = ", iteration)]]
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320 ## change class of numbers into numeric to round and calculate mean
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321 summary_iteration2 = round(as.numeric(summary_iteration), digits=2)
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322 summary_matrix = matrix(summary_iteration2, nrow=4, ncol=number_groups)
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323 accuracy_vector[count] = mean(summary_matrix[1,]) ## vector with accuracies to find later maximum for plot
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324 summary_iteration3 = cbind(rownames(summary_iteration), summary_matrix) ## include rownames in table
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325 summary_iteration4 = t(summary_iteration3)
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326 summary_iteration5 = cbind(c(paste0("ncomp = ", iteration), colnames(summary_iteration)), summary_iteration4)
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327 summary_oplscv[[count]] = summary_iteration5
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328 count = count+1} ## create list with summary table for each component
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329 summary_oplscv = do.call(rbind, summary_oplscv)
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330 summary_df = as.data.frame(summary_oplscv)
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331 colnames(summary_df) = NULL
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332
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333 ## plots
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334 ## plot to find ncomp with highest accuracy
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335 plot(components, accuracy_vector, ylab = "mean accuracy", type="o", main="Mean accuracy of OPLS classification")
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336 ncomp_max = components[which.max(accuracy_vector)] ## find ncomp with max. accuracy
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337 ## one image for each sample/fold, 4 images per page
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338 minimumy = min(coord(msidata.cv.opls)[,2])
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339 maximumy = max(coord(msidata.cv.opls)[,2])
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340 image(msidata.cv.opls, model = list(ncomp = ncomp_max),ylim= c(maximumy+0.2*maximumy,minimumy-0.2*minimumy),layout = c(1, 1))
0
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341
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342 ## print table with summary in pdf
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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343 par(opar)
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344 plot(0,type='n',axes=FALSE,ann=FALSE)
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345 title(main="Summary for the different components\n", adj=0.5)
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346 ## 20 rows fits in one page:
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347 if (nrow(summary_df)<=20){
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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348 grid.table(summary_df, rows= NULL)
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349 }else{
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350 grid.table(summary_df[1:20,], rows= NULL)
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351 mincount = 21
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352 maxcount = 40
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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353 for (count20 in 1:(ceiling(nrow(summary_df)/20)-1)){
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354 plot(0,type='n',axes=FALSE,ann=FALSE)
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355 if (maxcount <= nrow(summary_df)){
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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356 grid.table(summary_df[mincount:maxcount,], rows= NULL)
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357 mincount = mincount+20
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358 maxcount = maxcount+20
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359 }else{### stop last page with last sample otherwise NA in table
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360 grid.table(summary_df[mincount:nrow(summary_df),], rows= NULL)}
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361 }
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362 }
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363
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364 ## optional output as .RData
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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365 #if $output_rdata:
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366 save(msidata.cv.opls, file="$classification_rdata")
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367 #end if
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368
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369
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370 ######################## OPLS -analysis ###########################
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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371 #elif str( $type_cond.method_cond.opls_analysis_cond.opls_method) == "opls_analysis":
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372 print("OPLS analysis")
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373
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374 ## set variables for components and number of response groups
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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375 component = c($type_cond.method_cond.opls_analysis_cond.opls_comp)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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376 number_groups = length(levels(y_vector))
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377
4
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378 ### stop if multiple values for OPLS components are selected what sets component to 0
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379 tryCatch(
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380 {
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381
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382 if (component==0)
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383 {
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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384 stop(call.=FALSE)
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385 }
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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386 },
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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387 error=function(cond) {
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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388 ## in case user used multiple inputs for component - this is only possible in cv apply
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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389 message("Error during OPLS training")
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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390 message("Possible problems: Multiple values for component were selected - this is only possible in cvapply but not for OPLS analysis or component was set to 0 but minimum for component is 1)")
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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391 stop(call.=FALSE)
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392 }
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393 )
0
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394
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395 ### opls analysis and coefficients plot
4
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396 msidata.opls <- PLS(msidata, y = y_vector, ncomp = component, scale=$type_cond.method_cond.opls_analysis_cond.opls_scale)
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
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397 ## to reduce msidata: keep.Xnew = $type_cond.method_cond.opls_analysis_cond.xnew
0
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398 plot(msidata.opls, main="OPLS coefficients per m/z")
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399
4
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400
0
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401 ### summary table of OPLS
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402 summary_table = summary(msidata.opls)\$accuracy[[paste0("ncomp = ",component)]]
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403 summary_table2 = round(as.numeric(summary_table), digits=2)
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404 summary_matrix = matrix(summary_table2, nrow=4, ncol=number_groups)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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405 summary_table3 = cbind(rownames(summary_table), summary_matrix) ## include rownames in table
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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406 summary_table4 = t(summary_table3)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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407 summary_table5 = cbind(c(paste0("ncomp = ", component), colnames(summary_table)), summary_table4)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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408 plot(0,type='n',axes=FALSE,ann=FALSE)
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409 grid.table(summary_table5, rows= NULL)
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410
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411 ### image of the best m/z
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412 minimumy = min(coord(msidata)[,2])
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413 maximumy = max(coord(msidata)[,2])
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414 print(image(msidata, mz = topLabels(msidata.opls)[1,1], normalize.image = "linear", contrast.enhance = "histogram",smooth.image="gaussian", ylim= c(maximumy+0.2*maximumy,minimumy-0.2*minimumy), main="best m/z heatmap"))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
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415
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416 opls_classes = data.frame(msidata.opls\$classes[[1]])
3
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417 ## pixel names and coordinates
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418 ## to remove potential sample names and z dimension, split at comma and take only x and y
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419 x_coords = unlist(lapply(strsplit(names(pixels(msidata)), ","), `[[`, 1))
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
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420 y_coords = unlist(lapply(strsplit(names(pixels(msidata)), ","), `[[`, 2))
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421 x_coordinates = gsub("x = ","",x_coords)
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422 y_coordinates = gsub(" y = ","",y_coords)
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423 pixel_names = paste0("xy_", x_coordinates, "_", y_coordinates)
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424
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
425 opls_classes2 = data.frame(pixel_names, x_coordinates, y_coordinates, opls_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
426 colnames(opls_classes2) = c("pixel names", "x", "y","predicted condition")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
427
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
428 ## remove msidata to clean up RAM space
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
429 rm(msidata)
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
430 gc()
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
431
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
432 opls_toplabels = topLabels(msidata.opls, n=Inf)
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
433 opls_toplabels[,4:6] <-round(opls_toplabels[,4:6],6)
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
434 write.table(opls_toplabels, file="$mzfeatures", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
435 write.table(opls_classes2, file="$pixeloutput", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
436
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
437 ## image with predicted classes
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
438 prediction_df = cbind(coord(msidata.opls)[,1:2], opls_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
439 colnames(prediction_df) = c("x", "y", "predicted_classes")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
440
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
441 prediction_plot = ggplot(prediction_df, aes(x=x, y=y, fill=predicted_classes))+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
442 geom_tile() +
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
443 coord_fixed()+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
444 ggtitle("Predicted condition for each pixel")+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
445 theme_bw()+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
446 theme(text=element_text(family="ArialMT", face="bold", size=15))+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
447 theme(legend.position="bottom",legend.direction="vertical")+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
448 guides(fill=guide_legend(ncol=4,byrow=TRUE))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
449 coord_labels = aggregate(cbind(x,y)~predicted_classes, data=prediction_df, mean, na.rm=TRUE, na.action="na.pass")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
450 coord_labels\$file_number = gsub( "_.*$", "", coord_labels\$predicted_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
451 print(prediction_plot)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
452
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
453 ## optional output as .RData
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
454 #if $output_rdata:
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
455 save(msidata.opls, file="$classification_rdata")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
456 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
457 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
458
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
459
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
460 ######################## SSC #############################
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
461 #elif str( $type_cond.method_cond.class_method) == "spatialShrunkenCentroids":
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
462 print("SSC")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
463
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
464 ######################## SSC - CV #############################
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
465 #if str( $type_cond.method_cond.ssc_analysis_cond.ssc_method) == "ssc_cvapply":
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
466 print("SSC cv")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
467
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
468 ## set variables for components and number of response groups
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
469 number_groups = length(levels(y_vector))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
470
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
471 ## SSC-cvApply:
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
472 msidata.cv.ssc <- cvApply(msidata, .y = y_vector,.fold = fold_vector,.fun = "spatialShrunkenCentroids", r = c($type_cond.method_cond.ssc_r), s = c($type_cond.method_cond.ssc_s), method = "$type_cond.method_cond.ssc_kernel_method")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
473
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
474 ## remove msidata to clean up RAM space
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
475 rm(msidata)
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
476 gc()
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
477
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
478 ## create table with summary
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
479 count = 1
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
480 summary_ssccv = list()
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
481 accuracy_vector = numeric()
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
482 iteration_vector = character()
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
483 for (iteration in names(msidata.cv.ssc@resultData[[1]][,1])){
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
484
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
485 summary_iteration = summary(msidata.cv.ssc)\$accuracy[[iteration]]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
486 ## change class of numbers into numeric to round and calculate mean
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
487 summary_iteration2 = round(as.numeric(summary_iteration), digits=2)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
488 summary_matrix = matrix(summary_iteration2, nrow=4, ncol=number_groups)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
489 accuracy_vector[count] = mean(summary_matrix[1,]) ## vector with accuracies to find later maximum for plot
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
490 summary_iteration3 = cbind(rownames(summary_iteration), summary_matrix) ## include rownames in table
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
491 summary_iteration4 = t(summary_iteration3)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
492 summary_iteration5 = cbind(c(iteration, colnames(summary_iteration)), summary_iteration4)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
493 summary_ssccv[[count]] = summary_iteration5
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
494 iteration_vector[count] = unlist(strsplit(iteration, "[,]"))[3]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
495 count = count+1} ## create list with summary table for each component
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
496 summary_ssccv = do.call(rbind, summary_ssccv)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
497 summary_df = as.data.frame(summary_ssccv)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
498 colnames(summary_df) = NULL
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
499
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
500 ## plot to find parameters with highest accuracy
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
501 plot(c($type_cond.method_cond.ssc_s),accuracy_vector[!duplicated(iteration_vector)], type="o",ylab="Mean accuracy", xlab = "Shrinkage parameter (s)", main="Mean accuracy of SSC classification")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
502 best_params = names(msidata.cv.ssc@resultData[[1]][,1])[which.max(accuracy_vector)] ## find parameters with max. accuracy
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
503 r_value = as.numeric(substring(unlist(strsplit(best_params, ","))[1], 4))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
504 s_value = as.numeric(substring(unlist(strsplit(best_params, ","))[3], 5)) ## remove space
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
505 minimumy = min(coord(msidata.cv.ssc)[,2])
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
506 maximumy = max(coord(msidata.cv.ssc)[,2])
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
507 image(msidata.cv.ssc, model = list( r = r_value, s = s_value ), ylim= c(maximumy+0.2*maximumy,minimumy-0.2*minimumy),layout=c(1,1))
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
508
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
509 ## print table with summary in pdf
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
510 par(opar)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
511 plot(0,type='n',axes=FALSE,ann=FALSE)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
512 title(main="Summary for the different parameters\n", adj=0.5)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
513 ## 20 rows fits in one page:
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
514 if (nrow(summary_df)<=20){
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
515 grid.table(summary_df, rows= NULL)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
516 }else{
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
517 grid.table(summary_df[1:20,], rows= NULL)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
518 mincount = 21
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
519 maxcount = 40
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
520 for (count20 in 1:(ceiling(nrow(summary_df)/20)-1)){
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
521 plot(0,type='n',axes=FALSE,ann=FALSE)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
522 if (maxcount <= nrow(summary_df)){
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
523 grid.table(summary_df[mincount:maxcount,], rows= NULL)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
524 mincount = mincount+20
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
525 maxcount = maxcount+20
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
526 }else{### stop last page with last sample otherwise NA in table
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
527 grid.table(summary_df[mincount:nrow(summary_df),], rows= NULL)}
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
528 }
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
529 }
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
530
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
531 ## optional output as .RData
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
532 #if $output_rdata:
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
533 save(msidata.cv.ssc, file="$classification_rdata")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
534 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
535
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
536 ######################## SSC -analysis ###########################
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
537 #elif str( $type_cond.method_cond.ssc_analysis_cond.ssc_method) == "ssc_analysis":
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
538 print("SSC analysis")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
539
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
540 ## set variables for components and number of response groups
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
541 number_groups = length(levels(y_vector))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
542
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
543 ## SSC analysis and plot
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
544 msidata.ssc <- spatialShrunkenCentroids(msidata, y = y_vector, .fold = fold_vector,
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
545 r = c($type_cond.method_cond.ssc_r), s = c($type_cond.method_cond.ssc_s), method = "$type_cond.method_cond.ssc_kernel_method")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
546 plot(msidata.ssc, mode = "tstatistics", model = list("r" = c($type_cond.method_cond.ssc_r), "s" = c($type_cond.method_cond.ssc_s)))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
547
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
548 ### summary table SSC
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
549 ##############summary_table = summary(msidata.ssc)
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
550
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
551 ### stop if multiple values for r and s were used as input
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
552 tryCatch(
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
553 {
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
554
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
555 if (length(names(msidata.ssc@resultData))>1)
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
556 {
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
557 stop(call.=FALSE)
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
558 }
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
559 },
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
560 error=function(cond) {
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
561 ## in case user used multiple inputs for r or s stop - this is only possible in cv apply
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
562 message("Error during SSC training")
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
563 message("Possible problem: multiple values for r or s selected - this is only possible in cvapply but not for spatial shrunken centroid analysis)")
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
564 stop(call.=FALSE)
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
565 }
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
566 )
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
567
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
568 summary_table = summary(msidata.ssc)\$accuracy[[names(msidata.ssc@resultData)]]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
569 summary_table2 = round(as.numeric(summary_table), digits=2)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
570 summary_matrix = matrix(summary_table2, nrow=4, ncol=number_groups)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
571 summary_table3 = cbind(rownames(summary_table), summary_matrix) ## include rownames in table
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
572 summary_table4 = t(summary_table3)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
573 summary_table5 = cbind(c(names(msidata.ssc@resultData),colnames(summary_table)), summary_table4)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
574 plot(0,type='n',axes=FALSE,ann=FALSE)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
575 grid.table(summary_table5, rows= NULL)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
576
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
577 ### image of the best m/z
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
578 minimumy = min(coord(msidata)[,2])
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
579 maximumy = max(coord(msidata)[,2])
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
580 print(image(msidata, mz = topLabels(msidata.ssc)[1,1], normalize.image = "linear", contrast.enhance = "histogram",smooth.image="gaussian", ylim= c(maximumy+0.2*maximumy,minimumy-0.2*minimumy), main="best m/z heatmap"))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
581
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
582 ## m/z and pixel information output
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
583 ssc_classes = data.frame(msidata.ssc\$classes[[1]])
3
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
584
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
585 ## pixel names and coordinates
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
586 ## to remove potential sample names and z dimension, split at comma and take only x and y
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
587 x_coords = unlist(lapply(strsplit(names(pixels(msidata)), ","), `[[`, 1))
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
588 y_coords = unlist(lapply(strsplit(names(pixels(msidata)), ","), `[[`, 2))
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
589 x_coordinates = gsub("x = ","",x_coords)
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
590 y_coordinates = gsub(" y = ","",y_coords)
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
591 pixel_names = paste0("xy_", x_coordinates, "_", y_coordinates)
60cf221846e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 2c4a1a862900b4efbc30824cbcb798f835b168b2
galaxyp
parents: 2
diff changeset
592
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
593
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
594 ## remove msidata to clean up RAM space
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
595 rm(msidata)
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
596 gc()
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
597
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
598 ssc_classes2 = data.frame(pixel_names, x_coordinates, y_coordinates, ssc_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
599 colnames(ssc_classes2) = c("pixel names", "x", "y","predicted condition")
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
600 ssc_toplabels = topLabels(msidata.ssc, n=Inf)
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
601 ssc_toplabels[,6:9] <-round(ssc_toplabels[,6:9],6)
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
602 write.table(ssc_toplabels, file="$mzfeatures", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
603 write.table(ssc_classes2, file="$pixeloutput", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
604
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
605 ## image with predicted classes
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
606 prediction_df = cbind(coord(msidata.ssc)[,1:2], ssc_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
607 colnames(prediction_df) = c("x", "y", "predicted_classes")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
608
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
609 prediction_plot = ggplot(prediction_df, aes(x=x, y=y, fill=predicted_classes))+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
610 geom_tile() +
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
611 coord_fixed()+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
612 ggtitle("Predicted condition for each pixel")+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
613 theme_bw()+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
614 theme(text=element_text(family="ArialMT", face="bold", size=15))+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
615 theme(legend.position="bottom",legend.direction="vertical")+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
616 guides(fill=guide_legend(ncol=4,byrow=TRUE))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
617 coord_labels = aggregate(cbind(x,y)~predicted_classes, data=prediction_df, mean, na.rm=TRUE, na.action="na.pass")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
618 coord_labels\$file_number = gsub( "_.*$", "", coord_labels\$predicted_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
619 print(prediction_plot)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
620
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
621
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
622 ## optional output as .RData
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
623 #if $output_rdata:
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
624 save(msidata.ssc, file="$classification_rdata")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
625 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
626
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
627 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
628 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
629
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
630
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
631
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
632 ######################## II) Prediction #############################
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
633 #############################################################################
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
634
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
635 #elif str($type_cond.type_method) == "prediction":
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
636 print("prediction")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
637
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
638 training_data = loadRData("$type_cond.training_result")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
639
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
640 #if str($type_cond.new_y_values_cond.new_y_values) == "new_response":
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
641 print("new response")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
642
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
643 new_y_tabular = read.delim("$type_cond.new_y_values_cond.new_response_file", header = $type_cond.new_y_values_cond.new_tabular_header, stringsAsFactors = FALSE)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
644 new_y_input = new_y_tabular[,c($type_cond.new_y_values_cond.column_new_x, $type_cond.new_y_values_cond.column_new_y, $type_cond.new_y_values_cond.column_new_response)]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
645 colnames(new_y_input)[1:2] = c("x", "y")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
646 ## merge with coordinate information of msidata
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
647 msidata_coordinates = cbind(coord(msidata)[,1:2], c(1:ncol(msidata)))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
648 colnames(msidata_coordinates)[3] = "pixel_index"
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
649 merged_response = merge(msidata_coordinates, new_y_input, by=c("x", "y"), all.x=TRUE)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
650 merged_response[is.na(merged_response)] = "NA"
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
651 merged_response = merged_response[order(merged_response\$pixel_index),]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
652 new_y_vector = as.factor(merged_response[,4])
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
653 prediction = predict(training_data,msidata, newy = new_y_vector)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
654
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
655 #else
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
656 prediction = predict(training_data,msidata)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
657 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
658
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
659 ## m/z and pixel information output
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
660 predicted_classes = data.frame(prediction\$classes[[1]])
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
661 pixel_names = gsub(", y = ", "_", names(pixels(msidata)))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
662 pixel_names = gsub(" = ", "y_", pixel_names)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
663 x_coordinates = matrix(unlist(strsplit(pixel_names, "_")), ncol=3, byrow=TRUE)[,2]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
664 y_coordinates = matrix(unlist(strsplit(pixel_names, "_")), ncol=3, byrow=TRUE)[,3]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
665 predicted_classes2 = data.frame(pixel_names, x_coordinates, y_coordinates, predicted_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
666 colnames(predicted_classes2) = c("pixel names", "x", "y","predicted condition")
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
667 predicted_toplabels = topLabels(prediction, n=Inf)
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
668 if (colnames(predicted_toplabels)[4] == "coefficients"){
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
669 predicted_toplabels[,4:6] <-round(predicted_toplabels[,4:6],5)
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
670
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
671 }else{
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
672 predicted_toplabels[,6:9] <-round(predicted_toplabels[,6:9],5)}
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
673 write.table(predicted_toplabels, file="$mzfeatures", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
674 write.table(predicted_classes2, file="$pixeloutput", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
675
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
676 ## image with predicted classes
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
677
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
678 prediction_df = cbind(coord(prediction)[,1:2], predicted_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
679 colnames(prediction_df) = c("x", "y", "predicted_classes")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
680
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
681 prediction_plot = ggplot(prediction_df, aes(x=x, y=y, fill=predicted_classes))+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
682 geom_tile() +
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
683 coord_fixed()+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
684 ggtitle("Predicted condition for each pixel")+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
685 theme_bw()+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
686 theme(text=element_text(family="ArialMT", face="bold", size=15))+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
687 theme(legend.position="bottom",legend.direction="vertical")+
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
688 guides(fill=guide_legend(ncol=4,byrow=TRUE))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
689 coord_labels = aggregate(cbind(x,y)~predicted_classes, data=prediction_df, mean, na.rm=TRUE, na.action="na.pass")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
690 coord_labels\$file_number = gsub( "_.*$", "", coord_labels\$predicted_classes)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
691 print(prediction_plot)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
692
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
693 ## Summary table prediction
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
694 summary_table = summary(prediction)\$accuracy[[names(prediction@resultData)]]
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
695 summary_table2 = round(as.numeric(summary_table), digits=2)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
696 summary_matrix = matrix(summary_table2, nrow=4, ncol=ncol(summary_table))
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
697 summary_table3 = cbind(rownames(summary_table), summary_matrix) ## include rownames in table
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
698 summary_table4 = t(summary_table3)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
699 summary_table5 = cbind(c(names(prediction@resultData),colnames(summary_table)), summary_table4)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
700 plot(0,type='n',axes=FALSE,ann=FALSE)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
701 grid.table(summary_table5, rows= NULL)
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
702
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
703 ## optional output as .RData
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
704 #if $output_rdata:
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
705 msidata = prediction
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
706 save(msidata, file="$classification_rdata")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
707 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
708
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
709 #end if
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
710
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
711 dev.off()
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
712
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
713 }else{
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
714 print("Inputfile has no intensities > 0 or contains NA values")
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
715 dev.off()
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
716 }
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
717
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
718
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
719 ]]></configfile>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
720 </configfiles>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
721 <inputs>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
722 <expand macro="reading_msidata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
723 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
724 <param name="type_method" type="select" label="Analysis step to perform">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
725 <option value="training" selected="True">training</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
726 <option value="prediction">prediction</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
727 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
728 <when value="training">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
729
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
730 <param name="annotation_file" type="data" format="tabular" label="Load tabular file with pixel coordinates and their classes"
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
731 help="Three or four columns: x values, y values, response values, optionally fold values"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
732 <param name="column_x" data_ref="annotation_file" label="Column with x values" type="data_column"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
733 <param name="column_y" data_ref="annotation_file" label="Column with y values" type="data_column"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
734 <param name="column_response" data_ref="annotation_file" label="Column with response (condition) values" type="data_column" help="This is the condition (pixel group) which will be classified"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
735 <param name="column_fold" data_ref="annotation_file" optional="True" label="Column with fold values - only neccessary for cvapply" type="data_column" help="Each fold must contain pixels of all response groups and is used for cross validation"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
736 <param name="tabular_header" type="boolean" label="Tabular files contain a header line" truevalue="TRUE" falsevalue="FALSE"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
737
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
738 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
739 <param name="class_method" type="select" label="Select the method for classification">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
740 <option value="PLS" selected="True">PLS-DA</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
741 <option value="OPLS">OPLS-DA</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
742 <option value="spatialShrunkenCentroids">spatial shrunken centroids</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
743 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
744 <when value="PLS">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
745
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
746 <conditional name="analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
747 <param name="PLS_method" type="select" label="Crossvalidation or analysis">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
748 <option value="cvapply" selected="True">cvApply</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
749 <option value="PLS_analysis">PLS-DA analysis</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
750 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
751 <when value="cvapply">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
752 <param name="plscv_comp" type="text" value="1:2"
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
753 label="The number of PLS-DA components" help="For cvapply multiple values are allowed (e.g. 1,2,3 or 2:5). Mininum is 1.">
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
754 <expand macro="sanitizer_multiple_digits"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
755 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
756 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
757 <when value="PLS_analysis">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
758 <param name="pls_comp" type="integer" value="5"
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
759 label="The optimal number of PLS-DA components as indicated by cross-validations (minimum is 1)" help="Run cvApply first to optain optimal number of PLS-DA components"/>
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
760 <param name="pls_scale" type="boolean" label="Data scaling" truevalue="TRUE" falsevalue="FALSE"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
761 <param name="pls_toplabels" type="integer" value="100"
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
762 label="Number of toplabels (m/z features) which should be written in tabular output"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
763 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
764 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
765 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
766
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
767 <when value="OPLS">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
768
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
769 <conditional name="opls_analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
770 <param name="opls_method" type="select" label="Analysis step to perform">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
771 <option value="opls_cvapply" selected="True">cvApply</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
772 <option value="opls_analysis">OPLS-DA analysis</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
773 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
774
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
775 <when value="opls_cvapply">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
776 <param name="opls_cvcomp" type="text" value="1:2"
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
777 label="The number of OPLS-DA components" help="For cvapply multiple values are allowed (e.g. 1,2,3 or 2:5). Minimum is 1.">
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
778 <expand macro="sanitizer_multiple_digits"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
779 </param>
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
780 <!--param name="xnew_cv" type="boolean" truevalue="TRUE" falsevalue="FALSE" label="Keep new matrix"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
781 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
782
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
783 <when value="opls_analysis">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
784 <param name="opls_comp" type="integer" value="5"
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
785 label="The optimal number of OPLS-DA components as indicated by cross-validations (minimum is 1)" help="Run cvApply first to optain optimal number of OPLS-DA components"/>
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
786 <!--param name="xnew" type="boolean" truevalue="TRUE" falsevalue="FALSE" label="Keep new matrix"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
787 <param name="opls_scale" type="boolean" truevalue="TRUE" falsevalue="FALSE" label="Data scaling"/>
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
788 <!--param name="opls_toplabels" type="integer" value="100"
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
789 label="Number of toplabels (m/z features) which should be written in tabular output"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
790 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
791 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
792 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
793
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
794 <when value="spatialShrunkenCentroids">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
795 <conditional name="ssc_analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
796 <param name="ssc_method" type="select" label="Analysis step to perform">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
797 <option value="ssc_cvapply" selected="True">cvApply</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
798 <option value="ssc_analysis">spatial shrunken centroids analysis</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
799 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
800 <when value="ssc_cvapply"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
801
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
802 <when value="ssc_analysis">
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
803 <!--param name="ssc_toplabels" type="integer" value="100"
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
804 label="Number of toplabels (m/z features) which should be written in tabular output"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
805 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
806 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
807 <param name="ssc_r" type="text" value="2"
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
808 label="The spatial neighborhood radius of nearby pixels to consider (r)" help="For cvapply multiple values are allowed (e.g. 0,1,2,3 or 2:5)">
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
809 <expand macro="sanitizer_multiple_digits"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
810 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
811 <param name="ssc_s" type="text" value="2"
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
812 label="The sparsity thresholding parameter by which to shrink the t-statistics (s)." help="For cvapply multiple values are allowed (e.g. 0,1,2 or 2:5)">
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
813 <expand macro="sanitizer_multiple_digits"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
814 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
815 <param name="ssc_kernel_method" type="select" display="radio" label = "The method to use to calculate the spatial smoothing kernels for the embedding. The 'gaussian' method refers to spatially-aware (SA) weights, and 'adaptive' refers to spatially-aware structurally-adaptive (SASA) weights">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
816 <option value="gaussian">gaussian</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
817 <option value="adaptive" selected="True">adaptive</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
818 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
819
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
820 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
821 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
822 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
823
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
824 <when value="prediction">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
825 <param name="training_result" type="data" format="rdata" label="Result from previous classification training"/>
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
826 <!--param name="predicted_toplabels" type="integer" value="100"
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
827 label="Number of toplabels (m/z features) which should be written in tabular output"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
828 <conditional name="new_y_values_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
829 <param name="new_y_values" type="select" label="Should new response values be used">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
830 <option value="no_new_response" selected="True">old response should be used</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
831 <option value="new_response">load new response from tabular file</option>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
832 </param>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
833 <when value="no_new_response"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
834 <when value="new_response">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
835 <param name="new_response_file" type="data" format="tabular" label="Load tabular file with pixel coordinates and the new response"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
836 <param name="column_new_x" data_ref="new_response_file" label="Column with x values" type="data_column"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
837 <param name="column_new_y" data_ref="new_response_file" label="Column with y values" type="data_column"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
838 <param name="column_new_response" data_ref="new_response_file" label="Column with new response values" type="data_column"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
839 <param name="new_tabular_header" type="boolean" label="Tabular files contain a header line" truevalue="TRUE" falsevalue="FALSE"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
840 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
841 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
842 </when>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
843 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
844 <param name="output_rdata" type="boolean" label="Results as .RData output" help="Can be used to generate a classification prediction on new data"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
845 </inputs>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
846 <outputs>
2
bf0eb536e4e5 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
galaxyp
parents: 1
diff changeset
847 <data format="pdf" name="classification_images" from_work_dir="classificationpdf.pdf" label = "${tool.name} on ${on_string}: results"/>
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
848 <data format="tabular" name="mzfeatures" label="${tool.name} on ${on_string}: features"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
849 <data format="tabular" name="pixeloutput" label="${tool.name} on ${on_string}: pixels"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
850 <data format="rdata" name="classification_rdata" label="${tool.name} on ${on_string}: results.RData">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
851 <filter>output_rdata</filter>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
852 </data>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
853 </outputs>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
854 <tests>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
855 <test expect_num_outputs="3">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
856 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
857 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
858 <param name="type_method" value="training"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
859 <param name="annotation_file" value= "pixel_annotation_file1.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
860 <param name="column_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
861 <param name="column_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
862 <param name="column_response" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
863 <param name="column_fold" value="3"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
864 <param name="tabular_header" value="False"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
865 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
866 <param name="class_method" value="PLS"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
867 <conditional name="analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
868 <param name="PLS_method" value="cvapply"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
869 <param name="plscv_comp" value="2:4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
870 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
871 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
872 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
873 <output name="mzfeatures" file="features_test1.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
874 <output name="pixeloutput" file="pixels_test1.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
875 <output name="classification_images" file="test1.pdf" compare="sim_size" delta="2000"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
876 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
877
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
878 <test expect_num_outputs="4">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
879 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
880 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
881 <param name="type_method" value="training"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
882 <param name="annotation_file" value= "pixel_annotation_file1.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
883 <param name="column_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
884 <param name="column_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
885 <param name="column_response" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
886 <param name="tabular_header" value="False"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
887 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
888 <param name="class_method" value="PLS"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
889 <conditional name="analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
890 <param name="PLS_method" value="PLS_analysis"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
891 <param name="pls_comp" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
892 <param name="pls_scale" value="TRUE"/>
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
893 <!--param name="pls_toplabels" value="100"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
894 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
895 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
896 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
897 <param name="output_rdata" value="True"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
898 <output name="mzfeatures" file="features_test2.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
899 <output name="pixeloutput" file="pixels_test2.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
900 <output name="classification_images" file="test2.pdf" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
901 <output name="classification_rdata" file="test2.rdata" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
902 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
903
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
904 <test expect_num_outputs="3">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
905 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
906 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
907 <param name="type_method" value="training"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
908 <param name="annotation_file" value= "random_factors.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
909 <param name="column_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
910 <param name="column_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
911 <param name="column_response" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
912 <param name="column_fold" value="3"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
913 <param name="tabular_header" value="False"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
914 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
915 <param name="class_method" value="OPLS"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
916 <conditional name="opls_analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
917 <param name="opls_method" value="opls_cvapply"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
918 <param name="opls_cvcomp" value="1:2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
919 <param name="xnew_cv" value="FALSE"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
920 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
921 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
922 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
923 <output name="mzfeatures" file="features_test3.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
924 <output name="pixeloutput" file="pixels_test3.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
925 <output name="classification_images" file="test3.pdf" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
926 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
927
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
928 <test expect_num_outputs="4">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
929 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
930 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
931 <param name="type_method" value="training"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
932 <param name="annotation_file" value= "random_factors.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
933 <param name="column_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
934 <param name="column_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
935 <param name="column_response" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
936 <param name="tabular_header" value="False"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
937 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
938 <param name="class_method" value="OPLS"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
939 <conditional name="opls_analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
940 <param name="opls_method" value="opls_analysis"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
941 <param name="opls_comp" value="3"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
942 <param name="xnew" value="FALSE"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
943 <param name="opls_scale" value="FALSE"/>
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
944 <!--param name="opls_toplabels" value="100"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
945 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
946 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
947 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
948 <param name="output_rdata" value="True"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
949 <output name="mzfeatures" file="features_test4.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
950 <output name="pixeloutput" file="pixels_test4.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
951 <output name="classification_images" file="test4.pdf" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
952 <output name="classification_rdata" file="test4.rdata" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
953 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
954
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
955 <test expect_num_outputs="3">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
956 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
957 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
958 <param name="type_method" value="training"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
959 <param name="annotation_file" value= "pixel_annotation_file1.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
960 <param name="column_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
961 <param name="column_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
962 <param name="column_response" value="3"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
963 <param name="column_fold" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
964 <param name="tabular_header" value="False"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
965 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
966 <param name="class_method" value="spatialShrunkenCentroids"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
967 <conditional name="ssc_analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
968 <param name="ssc_method" value="ssc_cvapply"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
969 <param name="ssc_r" value="1:2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
970 <param name="ssc_s" value="2:3"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
971 <param name="ssc_kernel_method" value="adaptive"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
972 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
973 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
974 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
975 <output name="mzfeatures" file="features_test5.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
976 <output name="pixeloutput" file="pixels_test5.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
977 <output name="classification_images" file="test5.pdf" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
978 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
979
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
980 <test expect_num_outputs="4">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
981 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
982 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
983 <param name="type_method" value="training"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
984 <param name="annotation_file" value= "random_factors.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
985 <param name="column_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
986 <param name="column_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
987 <param name="column_response" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
988 <conditional name="method_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
989 <param name="class_method" value="spatialShrunkenCentroids"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
990 <conditional name="ssc_analysis_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
991 <param name="ssc_method" value="ssc_analysis"/>
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
992 <!--param name="ssc_toplabels" value="20"/-->
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
993 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
994 <param name="ssc_r" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
995 <param name="ssc_s" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
996 <param name="ssc_kernel_method" value="adaptive"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
997 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
998 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
999 <param name="output_rdata" value="True"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1000 <output name="mzfeatures" file="features_test6.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1001 <output name="pixeloutput" file="pixels_test6.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1002 <output name="classification_images" file="test6.pdf" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1003 <output name="classification_rdata" file="test6.rdata" compare="sim_size" />
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1004 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1005
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1006 <test expect_num_outputs="4">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1007 <param name="infile" value="testfile_squares.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1008 <conditional name="type_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1009 <param name="type_method" value="prediction"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1010 <param name="training_result" value="test2.rdata" ftype="rdata"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1011 <conditional name="new_y_values_cond">
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1012 <param name="new_y_values" value="new_response"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1013 <param name="new_response_file" value="pixel_annotation_file1.tabular" ftype="tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1014 <param name="column_new_x" value="1"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1015 <param name="column_new_y" value="2"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1016 <param name="column_new_response" value="4"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1017 <param name="new_tabular_header" value="False"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1018 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1019 </conditional>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1020 <param name="output_rdata" value="True"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1021 <output name="mzfeatures" file="features_test7.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1022 <output name="pixeloutput" file="pixels_test7.tabular"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1023 <output name="classification_images" file="test7.pdf" compare="sim_size"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1024 <output name="classification_rdata" file="test7.rdata" compare="sim_size" />
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1025 </test>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1026 </tests>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1027 <help>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1028 <![CDATA[
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1029
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1030
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1031 @CARDINAL_DESCRIPTION@
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1032
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1033 -----
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1034
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1035 This tool provides three different Cardinal functions for supervised classification of mass-spectrometry imaging data.
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1036
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1037 @MSIDATA_INPUT_DESCRIPTION@
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1038 - NA intensities are not allowed
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1039 - duplicated coordinates will be removed
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1040
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1041 - For training: tabular file with condition and fold for each pixel: Two columns for pixel coordinates (x and y values); one column with the condition for the pixel, which will be used for classification; for the cross validation (cvapply) another column with a fold is necessary, each fold must contain pixels of all response groups and is used for cross validation. Condition and fold columns are treated as factor to perform discriminant analysis (also when numeric values are provided).
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1042
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1043 ::
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1044
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1045 x_coord y_coord condition fold
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1046 1 1 A f1
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1047 2 1 A f2
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1048 3 1 A f3
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1049 1 2 B f1
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1050 2 2 B f2
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1051 3 2 B f3
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1052 ...
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1053 ...
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1054
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1055
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1056 - For prediction: RData output from previous classification run is needed as input, optionally new response values can be loaded with a tabular file containing x values, y values and the response
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1057
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1058
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1059 **Options**
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1060
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1061 - PLS-DA: partial least square discriminant analysis
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1062 - O-PLS-DA: Orthogonal partial least squares discriminant analysis
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1063 - Spatial shrunken centroids (more details in `Bemis et al. <https://doi.org/10.1074/mcp.O115.053918>`_)
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1064 - training and prediction
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1065
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1066 - training can be done with cvapply that uses cross validation to find the best value for s, this requires not only a condition for each spectrum but also a fold (each fold should contain spectra of all conditions)
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1067 - training with the best value for s gives the top m/z features for each condition and the predicted classification group for each spectrum
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1068 - training result can be saved as RData file that can be reused for prediction of further samples
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1069
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1070
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1071 .. image:: $PATH_TO_IMAGES/classification_overview.png
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1072 :width: 1000
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1073 :height: 465
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1074
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1075
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1076
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1077 **Tips**
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1078
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1079 - The classification function will only run on files with valid intensity values (NA are not allowed)
4
a7204db5e3a4 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit ecdc3a64aa245d80dbc5487b2bf10a85a43adc6d
galaxyp
parents: 3
diff changeset
1080 - Only a single input file is accepted, several files have to be combined previously, for example with the MSI combine tool.
0
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1081
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1082
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1083 **Output**
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1084
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1085 - Pdf with the heatmaps and plots for the classification
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1086 - Tabular file with information on m/z features and pixels: toplabels/classes
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1087 - Optional: RData output that can be used to predict new data or to explore the results more deeply with the Cardinal package in R
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1088
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1089 ]]>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1090 </help>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1091 <expand macro="citations"/>
7d1500ecbda9 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 0825a4ccd3ebf4ca8a298326d14f3e7b25ae8415
galaxyp
parents:
diff changeset
1092 </tool>