Mercurial > repos > malex > secimtools
diff multiple_testing_adjustment.xml @ 1:2e7d47c0b027 draft
"planemo upload for repository https://malex@toolshed.g2.bx.psu.edu/repos/malex/secimtools"
author | malex |
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date | Mon, 08 Mar 2021 22:04:06 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiple_testing_adjustment.xml Mon Mar 08 22:04:06 2021 +0000 @@ -0,0 +1,86 @@ +<tool id="secimtools_multiple_testing_adjustment" name="Multiple Testing Adjustment (MTA)" version="@WRAPPER_VERSION@"> + <description>of p-values.</description> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements" /> + <command><![CDATA[ +multiple_testing_adjustment.py +--input $input +--uniqID $uniqID +--pval "$pval" +--alpha $alpha +--outadjusted $outadjusted +--flags $flags + ]]></command> + <inputs> + <param name="input" type="data" format="tabular" label="Wide Dataset" help="Input your tab-separated wide format dataset. If not tab separated see TIP below."/> + <param name="uniqID" type="text" size="30" value="" label="Unique Feature ID" help="Name of the column in your Wide Dataset that has unique identifiers.."/> + <param name="pval" type="text" size="30" value="" label="p-value column" help="Name of the column in your wide dataset that contains the p-values."/> + <param name="alpha" type="float" size="6" value="0.05" label="α" help="Value of α to be used for multiple correction. Default α = 0.05."/> + </inputs> + <outputs> + <data format="tabular" name="outadjusted" label="${tool.name} on ${on_string}: Adjusted pval."/> + <data format="tabular" name="flags" label="${tool.name} on ${on_string}: Flags."/> + </outputs> + <tests> + <test> + <param name="input" value="ST000006_anova_fixed_with_group_summary.tsv"/> + <param name="uniqID" value="Retention_Index" /> + <param name="pval" value="prob_greater_than_t_for_diff_Chardonnay, Carneros, CA 2003 (CH01)-Chardonnay, Carneros, CA 2003 (CH02)" /> + <param name="alpha" value="0.05" /> + <output name="outadjusted" file="ST000006_multiple_testing_adjustment_outadjusted.tsv" /> + <output name="flags" file="ST000006_multiple_testing_adjustment_flags.tsv" /> + </test> + </tests> + <help><![CDATA[ + +@TIP_AND_WARNING@ + +**Tool Description** + +The tool is designed to adjust p-values for multiple comparisons using three different methods: + +(1) The Bonferroni method and two false discovery rate (FDR) methods, (2) the Benjamini-Hochberg method (BH) and (3) the Benjamini-Yekutieli method (BY). +The p-value correction can be carried out on p-values generated from the following tools: Analysis of Variance (ANOVA) Fixed Effects Model, Kruskal-Wallis Non-Parametric Test, T-test (Single Group) and T-test (Paired and/or Unpaired) in addition to p-values generated outside of these tools. +The user can specify the total type I error α value. + +More details about the PH and BY methods are available in the papers: + +Benjamini, Y., and Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the royal statistical society. Series B (Methodological), 289-300. + +Benjamini, Y., and Yekutieli, D. (2001). The control of the false discovery rate in multiple testing under dependency. Annals of statistics, 1165-1188. + +------------------------------------------------------------------------------------------- + +**Input** + + - Two input datasets are required. + +@WIDE@ + +@UNIQID@ + +**Name for p-value column** + + - Name of the column in your Wide Dataset that contains the p-values. + +**α** + + - Value of α to be used for multiple correction. Default α = 0.05. + +------------------------------------------------------------------------------------------- + +**Output** + +The tool produces two TSV files: + +(1) One TSV that contains the following five columns: + a column with unique feature IDs, + a column of the original p-values and + the last three columns contain the p-values adjusted using the 3 methods described above which are reflected in the column name. +(2) The second TSV file contains flags where all significant values are flagged as 1 and non-significant values are flagged as 0. + + ]]></help> + <expand macro="citations"/> +</tool>