comparison cluster.tools/rnaseq.feature.selection.xml @ 1:dddfeedb85af draft

Uploaded
author peter-waltman
date Fri, 01 Mar 2013 10:16:53 -0500
parents
children 563832f48c08
comparison
equal deleted inserted replaced
0:0decf3fd54bc 1:dddfeedb85af
1 <tool id="rnaseq_feature_selection" name="RNASeq Feature Selection" force_history_refresh="True">
2 <command interpreter="python">rnaseq.feature.selection.py
3 -d $dataset
4 -z ${z_transform}
5 -m ${var_method}
6 -p ${perc_pass}
7 -o ${output}
8
9 </command>
10 <inputs>
11 <param name="dataset" type="data" format='tabular' label="RNASeq Data Set"/>
12 <param name="z_transform" type='select' display="radio" label="Z-transform data?" help="Specify whether or not to Z-transform the rows (mean=0, sd=1)">
13 <option value="yes" selected='true' >Yes</option>
14 <option value="no">No</option>
15 </param>
16 <param name="var_method" type="select" label="Variance Metric for Genes" help="Specify Metric to use for calculating Gene Variance" >
17 <option value="mad">Median Absolute Deviation (MAD)</option>
18 <option value="maxad">Maximum Absolute Deviation (Max AD)</option>
19 <option value="sd">Standard Deviation (SD)</option>
20 </param>
21 <param name="perc_pass" type="float" label="Total number of features to keep" help="Use value >= 1 to indicate exact number of genes. Use value in 0-1 range to specify percentage" value="1500"/>
22 </inputs>
23 <outputs>
24 <data format="tabular" name="output" label="Filtered RNASeqs"/>
25 </outputs>
26 <help>
27 .. class:: infomark
28
29 **RNASeq Feature Selection** - Tool to filter an RNASeq matrix to select the most variant features
30
31 **OUTPUT:** A new matrix containing only the most variant feaures
32
33 ----
34
35 **Parameters**
36
37 - **Z-transform data?** - Specify whether or not to Z-transform the rows (mean=0, sd=1)
38 - **Variance Metric for Genes** - Specify Metric to use for calculating Gene Variance. Choice of:
39
40 * Median Absolute Deviation (MAD)
41 * Maximum Absolute Deviation - similar to MAD, but uses the _Maximum_, instead of the Median Absolute Deviatioin
42 * Standard Deviation
43
44 - **Percentage of Samples Passing** Percent of samples with an IPL that passes the threshold. Choice of:
45
46 * Integer Value - indicate the exact number of genes that are to be kept
47 * Real Value in [0,1] - indicate the percentage of genes that are to be kept
48
49
50
51 </help>
52 </tool>