Mercurial > repos > ppericard > mixomics_blocksplsda
diff matCor_addVar.xml @ 4:b0ab97ffc2a1 draft
planemo upload for repository https://github.com/bilille/galaxy-mixomics-blocksplsda commit 0bf5c0745f406f2eca9c708a062c975b1f7ea386
author | ppericard |
---|---|
date | Mon, 09 Mar 2020 11:53:32 -0400 |
parents | 0a3c83f2197a |
children |
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--- a/matCor_addVar.xml Fri Oct 25 07:10:59 2019 -0400 +++ b/matCor_addVar.xml Mon Mar 09 11:53:32 2020 -0400 @@ -1,12 +1,12 @@ -<tool id="matCor_addVar" name="matCor_addVar" version="0.2.0" profile="16.04" workflow_compatible="true"> +<tool id="matCor_addVar" name="matCor_addVar" version="0.3.0" profile="16.04" workflow_compatible="true"> - <description></description> - + <description>computes all the correlations needed to plot a correlation circle and determines which correlation circles can be superimposed</description> + <requirements> <requirement type="package" version="6.8">bioconductor-mixomics</requirement> <requirement type="package" version="2.0">r-argparse</requirement> </requirements> - + <stdio> <!-- <exit_code range="1:" level="fatal" /> --> </stdio> @@ -24,9 +24,15 @@ </command> <inputs> - <param name="input_rdata" type="data" format="rdata" label="Input RData file from block.SPLSDA"/> - <param name="cutoff_comp" type="float" value="0.8" min="0" max="1" label="" help="" /> - <param name="mat_block_Y" type="data" format="tabular" label="Matrix Block Y" /> + <param name="input_rdata" type="data" format="rdata" + label="Input RData file from block.SPLSDA" + help="This is the RData output file from the block.splsda function." /> + <param name="cutoff_comp" type="float" value="0.8" min="0" max="1" + label="Cutoff comp" + help="[cutoff_comp] Two correlation circles will be superimposed if the correlation of their first and second axis is greater than cutoff_comp in absolute value." /> + <param name="mat_block_Y" type="data" format="tabular" + label="Matrix Block Y" + help="Matrix Block Y in tabular format. This table contains the name of the samples in the first column. The other columns correspond to phenotypes. For each of these other columns, a column determines which sample is associated with this phenotype (value equals to 1) or not (value equals to 0). The name of the samples in Matrix Block Y (transposed), in the sample metadata (transposed) and for all datasets have to be in the same order" /> </inputs> <outputs>