Mercurial > repos > florianbegusch > qiime2_suite
comparison qiime2/qiime_sample-classifier_scatterplot.xml @ 0:370e0b6e9826 draft
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author | florianbegusch |
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date | Wed, 17 Jul 2019 03:05:17 -0400 |
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children | a025a4a89e07 |
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1 <?xml version="1.0" ?> | |
2 <tool id="qiime_sample-classifier_scatterplot" name="qiime sample-classifier scatterplot" version="2019.4"> | |
3 <description> - Make 2D scatterplot and linear regression of regressor predictions.</description> | |
4 <requirements> | |
5 <requirement type="package" version="2019.4">qiime2</requirement> | |
6 </requirements> | |
7 <command><![CDATA[ | |
8 qiime sample-classifier scatterplot | |
9 | |
10 --i-predictions=$ipredictions | |
11 --m-truth-column="$mtruthcolumn" | |
12 | |
13 --m-truth-file="$metadatafile" | |
14 | |
15 #if str($pmissingsamples) != 'None': | |
16 --p-missing-samples=$pmissingsamples | |
17 #end if | |
18 | |
19 --o-visualization=ovisualization | |
20 ; | |
21 qiime tools export --input-path ovisualization.qzv --output-path out && mkdir -p '$ovisualization.files_path' | |
22 && cp -r out/* '$ovisualization.files_path' | |
23 && mv '$ovisualization.files_path/index.html' '$ovisualization'; | |
24 cp mtruthfile.qza $mtruthfile | |
25 ]]></command> | |
26 <inputs> | |
27 <param format="qza,no_unzip.zip" label="--i-predictions: ARTIFACT SampleData[RegressorPredictions] Predicted values to plot on y axis. Must be predictions of numeric data produced by a sample regressor. [required]" name="ipredictions" optional="False" type="data"/> | |
28 <param label="--m-truth-column: COLUMN MetadataColumn[Numeric] Metadata column (true values) to plot on x axis. [required]" name="mtruthcolumn" optional="False" type="text"/> | |
29 <param label="--p-missing-samples: " name="pmissingsamples" optional="True" type="select"> | |
30 <option selected="True" value="None">Selection is Optional</option> | |
31 <option value="error">error</option> | |
32 <option value="ignore">ignore</option> | |
33 </param> | |
34 | |
35 <param label="--m-truth-file: Metadata file or artifact viewable as metadata." name="metadatafile" type="data" format="tabular,qza,no_unzip.zip" /> | |
36 | |
37 </inputs> | |
38 <outputs> | |
39 <data format="html" label="${tool.name} on ${on_string}: visualization.qzv" name="ovisualization"/> | |
40 </outputs> | |
41 <help><![CDATA[ | |
42 Make 2D scatterplot and linear regression of regressor predictions. | |
43 ################################################################### | |
44 | |
45 Make a 2D scatterplot and linear regression of predicted vs. true values | |
46 for a set of samples predicted using a sample regressor. | |
47 | |
48 Parameters | |
49 ---------- | |
50 predictions : SampleData[RegressorPredictions] | |
51 Predicted values to plot on y axis. Must be predictions of numeric data | |
52 produced by a sample regressor. | |
53 truth : MetadataColumn[Numeric] | |
54 Metadata column (true values) to plot on x axis. | |
55 missing_samples : Str % Choices('error', 'ignore'), optional | |
56 How to handle missing samples in metadata. "error" will fail if missing | |
57 samples are detected. "ignore" will cause the feature table and | |
58 metadata to be filtered, so that only samples found in both files are | |
59 retained. | |
60 | |
61 Returns | |
62 ------- | |
63 visualization : Visualization | |
64 ]]></help> | |
65 <macros> | |
66 <import>qiime_citation.xml</import> | |
67 </macros> | |
68 <expand macro="qiime_citation"/> | |
69 </tool> |