Mercurial > repos > recetox > waveica
diff waveica.xml @ 2:d08deef1eb44 draft
"planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/waveica commit e33ef984e78721ed37d825c6672795a539a461e1"
| author | recetox |
|---|---|
| date | Fri, 12 Nov 2021 09:14:04 +0000 |
| parents | 2bcfd5b450bb |
| children | e3726251a055 |
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--- a/waveica.xml Wed Jul 28 11:58:20 2021 +0000 +++ b/waveica.xml Fri Nov 12 09:14:04 2021 +0000 @@ -1,4 +1,4 @@ -<tool id="waveica" name="WaveICA" version="0.1.0+galaxy1" python_template_version="3.5"> +<tool id="waveica" name="WaveICA" version="0.1.0+galaxy2" python_template_version="3.5"> <description>removal of batch effects for untargeted metabolomics data</description> @@ -12,96 +12,98 @@ -e 'normalized_data <- waveica( data = "$data", - wavelet_filter = "$parameters.wf.wavelet_filter", - wavelet_length = "$parameters.wf.wavelet_length", - k = $parameters.k, - t = $parameters.t, - t2 = $parameters.t2, - alpha = $parameters.alpha, - exclude_blanks = $optional_parameters.exclude_blanks + wavelet_filter = "$wf.wavelet_filter", + wavelet_length = "$wf.wavelet_length", + k = $k, + t = $t, + t2 = $t2, + alpha = $alpha, + exclude_blanks = $exclude_blanks )' - -e 'store_data(normalized_data,"$normalized_features")' + -e 'store_data(normalized_data,"$normalized_data")' ]]></command> <inputs> - <param type="data" name="data" label="Sample-by-matrix data" format="csv" help=""/> - <section name="parameters" title="Normalization Parameters" expanded="True"> - <conditional name="wf"> - <param type="select" name="wavelet_filter" label="Wavelet transform filter" help="selecting wavelet function and filter length"> - <option value="d" selected="True">Daubechies</option> - <option value="la" >Least Asymetric</option> - <option value="bl" >Best Localized</option> - <option value="c" >Coiflet</option> + <param type="data" name="data" label="Feature table" format="csv" help=""/> + <conditional name="wf"> + <param type="select" name="wavelet_filter" label="Wavelet transform filter" help="wavelet function and filter length [1] (see footnotes for more details)"> + <option value="d" selected="True">Daubechies</option> + <option value="la" >Least Asymetric</option> + <option value="bl" >Best Localized</option> + <option value="c" >Coiflet</option> + </param> + <when value="d"> + <param name="wavelet_length" type="select" label="filter length"> + <option value="2" selected="True">2</option> + <option value="4">4</option> + <option value="6">6</option> + <option value="8">8</option> + <option value="10">10</option> + <option value="12">12</option> + <option value="14">14</option> + <option value="16">16</option> + <option value="18">18</option> + <option value="20">20</option> </param> - <when value="d"> - <param name="wavelet_length" type="select" label="filter length"> - <option value="2" selected="True">2</option> - <option value="4">4</option> - <option value="6">6</option> - <option value="8">8</option> - <option value="10">10</option> - <option value="12">12</option> - <option value="14">14</option> - <option value="16">16</option> - <option value="18">18</option> - <option value="20">20</option> - </param> - </when> - <when value="la"> - <param name="wavelet_length" type="select" label="filter length"> - <option value="8">8</option> - <option value="10">10</option> - <option value="12">12</option> - <option value="14">14</option> - <option value="16">16</option> - <option value="18">18</option> - <option value="20">20</option> - </param> - </when> - <when value="bl"> - <param name="wavelet_length" type="select" label="filter length"> - <option value="14">14</option> - <option value="18">18</option> - <option value="20">20</option> - </param> - </when> - <when value="c"> - <param name="wavelet_length" type="select" label="filter length"> - <option value="6">6</option> - <option value="12">12</option> - <option value="18">18</option> - <option value="24">24</option> - <option value="30">30</option> - </param> - </when> - </conditional> - <param type="integer" value="20" name="k" label="Number of components to decompose" help="the maximal component that ICA decomposes"/> - <param type="float" value="0.05" name="t" label="Batch-assosiation threshold" help="the threshold to consider a component associate with the batch, + </when> + <when value="la"> + <param name="wavelet_length" type="select" label="filter length"> + <option value="8">8</option> + <option value="10">10</option> + <option value="12">12</option> + <option value="14">14</option> + <option value="16">16</option> + <option value="18">18</option> + <option value="20">20</option> + </param> + </when> + <when value="bl"> + <param name="wavelet_length" type="select" label="filter length"> + <option value="14">14</option> + <option value="18">18</option> + <option value="20">20</option> + </param> + </when> + <when value="c"> + <param name="wavelet_length" type="select" label="filter length"> + <option value="6">6</option> + <option value="12">12</option> + <option value="18">18</option> + <option value="24">24</option> + <option value="30">30</option> + </param> + </when> + </conditional> + <param type="integer" value="20" name="k" label="Number of components to decompose" help="maximal component that ICA decomposes"/> + <param type="float" value="0.05" name="t" label="Batch-association threshold" help="threshold to consider a component associate with the batch, should be between 0 and 1"/> - <param type="float" value="0.05" name="t2" label="Group-assosiation threshold" help="the threshold to consider a component associate with the group, + <param type="float" value="0.05" name="t2" label="Group-association threshold" help="threshold to consider a component associate with the group, should be between 0 and 1"/> - <param type="float" value="0" name="alpha" label="Alpha" help="the trade-off value between the independence of samples and those of variables and should be between 0 and 1"/> - </section> - <section name="optional_parameters" expanded="true" title="Optional Parameters"> - <param name="exclude_blanks" type="boolean" checked="true" truevalue="TRUE" falsevalue="FALSE" label="Remove blanks" help="Excludes blank samples from the output" /> - </section> + <param type="float" value="0" name="alpha" label="Alpha" help="trade-off value between the independence of samples (temporal ICA) and variables (spatial ICA), should be between 0 and 1"/> + <param name="exclude_blanks" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="Remove blanks" help="Excludes blank samples from the output" /> </inputs> <outputs> - <data name="normalized_features" format="tsv" /> + <data name="normalized_data" format="tsv" /> </outputs> <tests> <test> - <param name="data" value="features-test.csv" ftype="csv" /> + <param name="data" value="input_data.csv" ftype="csv" /> <param name="wavelet_filter" value="d" /> <param name="filter_length" value="2" /> <param name="k" value="20" /> <param name="t" value="0.05" /> <param name="t2" value="0.05" /> <param name="alpha" value="0" /> - <output name="normalized_features" file="features-normalized.tsv" /> + <output name="normalized_data" file="normalized_data.tsv" /> + </test> + <test expect_failure="true"> + <param name="data" value="na_data.csv" ftype="csv" /> + </test> + <test expect_failure="true"> + <param name="data" value="incomplete_metadata_data.csv" ftype="csv" /> </test> </tests> @@ -110,19 +112,26 @@ Removal of batch effects for large-scale untargeted metabolomics data based on wavelet analysis. The WaveICA R package provides a new algorithm to removing batch effects for metabolomics data. - The input is Sample-by-matrix table which must include: - - 1. Injection order of samples - - 2. Types of the samples denoted as "blank", "sample" or "QC" + The input is an intensity-by-feature table with metadata in the following format: - 3. Batch numbers - - 4. Features data + +---------------+--------+------------+----------------+-------+------------+--------------+-------------+-------------+-----+ + | sampleName | class | sampleType | injectionOrder | batch | M85T34 | M86T41 | M86T518 | M86T539 | ... | + +===============+========+============+================+=======+============+==============+=============+=============+=====+ + | VT_160120_002 | sample | sample | 1 | 1 | 228520.064 | 35646729.215 | 2386896.979 | 1026645.836 | ... | + +---------------+--------+------------+----------------+-------+------------+--------------+-------------+-------------+-----+ + | QC1 | sample | QC | 2 | 1 | 90217.384 | 35735702.457 | 2456290.696 | 1089246.460 | ... | + +---------------+--------+------------+----------------+-------+------------+--------------+-------------+-------------+-----+ + | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | + +---------------+--------+------------+----------------+-------+------------+--------------+-------------+-------------+-----+ - **Documentation** - See original repository for further information: https://github.com/dengkuistat/WaveICA + + the input table must not contain missing values. Missing intensities must be filled with 0. + + **sampleType** column accepts three possible values: [QC, sample, blank] (case insensitive). + + **class** column is used to denote a biological group of a sample (e.g., positive/negative species). The column accepts any values. + + the **output** is the same table with corrected feature intensities. + + .. rubric:: **Footnotes** + .. [1] for details on wavelet filter parameters refer to R `wavelets::wt.filter <https://www.rdocumentation.org/packages/wavelets/versions/0.3-0.2/topics/wt.filter>`_; ]]></help>
