Mercurial > repos > recetox > recetox_aplcms_hybrid
view main.R @ 5:3a8864093eac draft
"planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/recetox_aplcms commit 831143b00343dbf66d738d5b5e7cbe9ee6f99594"
author | recetox |
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date | Fri, 18 Jun 2021 20:51:55 +0000 |
parents | |
children | 27853894eeac |
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library(recetox.aplcms) save_extracted_features <- function(df, filename) { df <- as.data.frame(df) columns <- c("mz", "pos", "sd1", "sd2", "area") arrow::write_parquet(df[columns], filename) } save_feature_sample_table <- function(df, filename) { columns <- c("feature", "mz", "rt", "sample", "sample_rt", "sample_intensity") arrow::write_parquet(df[columns], filename) } known_table_columns <- function() { c("chemical_formula", "HMDB_ID", "KEGG_compound_ID", "mass", "ion.type", "m.z", "Number_profiles_processed", "Percent_found", "mz_min", "mz_max", "RT_mean", "RT_sd", "RT_min", "RT_max", "int_mean(log)", "int_sd(log)", "int_min(log)", "int_max(log)") } save_known_table <- function(df, filename) { columns <- known_table_columns() arrow::write_parquet(df[columns], filename) } read_known_table <- function(filename) { arrow::read_parquet(filename, col_select = known_table_columns()) } save_pairing <- function(df, filename) { write.table(df, filename, row.names = FALSE, col.names = c("new", "old")) } save_all_extracted_features <- function(dfs, filenames) { filenames <- tools::file_path_sans_ext(basename(filenames)) filenames <- paste0(filenames, ".parquet") filenames <- file.path("extracted", filenames) dir.create("extracted") mapply(save_extracted_features, dfs, filenames) } save_all_corrected_features <- function(dfs, filenames) { filenames <- tools::file_path_sans_ext(basename(filenames)) filenames <- paste0(filenames, ".parquet") filenames <- file.path("corrected", filenames) dir.create("corrected") mapply(save_extracted_features, dfs, filenames) } unsupervised_main <- function(sample_files, aligned_file, recovered_file, ...) { sample_files <- sort_samples_by_acquisition_number(sample_files) res <- unsupervised(filenames = sample_files, ...) save_all_extracted_features(res$extracted_features, sample_files) save_all_corrected_features(res$corrected_features, sample_files) save_feature_sample_table(res$aligned_feature_sample_table, aligned_file) save_feature_sample_table(res$recovered_feature_sample_table, recovered_file) } hybrid_main <- function(sample_files, known_table_file, updated_known_table_file, pairing_file, aligned_file, recovered_file, ...) { sample_files <- sort_samples_by_acquisition_number(sample_files) known <- read_known_table(known_table_file) res <- hybrid(filenames = sample_files, known_table = known, ...) save_known_table(res$updated_known_table, updated_known_table_file) save_pairing(res$features_known_table_pairing, pairing_file) save_all_extracted_features(res$extracted_features, sample_files) save_all_corrected_features(res$corrected_features, sample_files) save_feature_sample_table(res$aligned_feature_sample_table, aligned_file) save_feature_sample_table(res$recovered_feature_sample_table, recovered_file) }