Mercurial > repos > metexplore > met4j

annotate tools/mapping/ORApathwayEnrichment/ORApathwayEnrichment.xml @ 9:0976a6257300 draft

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planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit 05db35f63cadb9d56dafff594a3507c59cd85273
author metexplore
date Fri, 31 Jan 2025 18:28:53 +0000
parents 1274e2a62479
children 6a112eaf8f38
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1 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
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2 <tool id="met4j_ORApathwayEnrichment" name="ORApathwayEnrichment" version="develop">
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3 <description>Perform Over Representation Analysis for Pathway Enrichment, using one-tailed exact Fisher Test.</description>
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4 <xrefs>
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5 <xref type="bio.tools">met4j</xref>
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6 </xrefs>
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7 <requirements>
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8 <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:develop</container>
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9 </requirements>
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10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh mapping.ORApathwayEnrichment#if str($th) != 'nan':
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11 -th "$th"
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12 #end if
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13 -i "$sbml"
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14 -d "$input"
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15 #if str($corr):
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16 -c "$corr"
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17 #end if
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18 -o "$outputFile"
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19 ]]></command>
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20 <inputs>
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21 <param argument="-th" label="threshold to select significant pathways. No filtering if &lt;=0" name="th" optional="true" type="float" value="0.0"/>
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22 <param argument="-i" format="sbml" label="Input model : SBML file with pathway annotation" name="sbml" optional="false" type="data" value=""/>
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23 <param argument="-d" format="tsv" label="Input data : Compounds of interest file, as one SBML specie identifier per line" name="input" optional="false" type="data" value=""/>
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24 <param argument="-c" label="Method for multiple testing p-value adjustment." name="corr" optional="true" type="select" value="BenjaminiHochberg">
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25 <option value="Bonferroni">Bonferroni</option>
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26 <option selected="true" value="BenjaminiHochberg">BenjaminiHochberg</option>
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27 <option value="HolmBonferroni">HolmBonferroni</option>
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28 </param>
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29 </inputs>
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30 <outputs>
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31 <data format="tsv" name="outputFile"/>
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32 </outputs>
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33 <tests>
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34 <test>
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46 <param name="sbml" value="XF_network.sbml"/>
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58 <param name="input" value="XF_network_C_NOI.txt"/>
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70 <output name="outputFile">
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82 <assert_contents>
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94 <has_n_columns n="3"/>
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106 <has_n_lines n="3"/>
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118 </assert_contents>
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130 </output>
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142 </test>
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143 <test>
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155 <param name="sbml" value="XF_network.sbml"/>
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167 <param name="input" value="XF_network_C_NOI.txt"/>
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179 <param name="corr" value="HolmBonferroni"/>
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191 <param name="th" value="0.005"/>
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203 <output name="outputFile">
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215 <assert_contents>
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227 <has_n_columns n="3"/>
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239 <has_n_lines n="2"/>
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251 </assert_contents>
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263 </output>
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275 </test>
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276 </tests>
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277 <help><![CDATA[Perform Over Representation Analysis for Pathway Enrichment, using one-tailed exact Fisher Test.
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278 The fisher exact test computes the probability p to randomly get the given set of values.
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279 This version computes the probability to get at least the given overlap between the given set and the given modality :
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280 Sum the hypergeometric probability with increasing target/query intersection cardinality.
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282 The hypergeometric probability is computed from the following contingency table entries.
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283 (values in cells correspond to the marginal totals of each intersection groups)
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284 Query !Query
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285 Target a b
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286 !Target c d
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288 The probability of obtaining the set of value is computed as following:
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289 p = ((a+b)!(c+d)!(a+c)!(b+d)!)/(a!b!c!d!(a+b+c+d)!)
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291 The obtained p-value is then adjusted for multiple testing using one of the following methods:
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292 - Bonferroni: adjusted p-value = p*n
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293 - Benjamini-Hochberg: adjusted p-value = p*n/k
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294 - Holm-Bonferroni: adjusted p-value = p*(n+1-k)
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295 n : number of tests; k : pvalue rank]]></help>
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296 <citations/>
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297 </tool>