Mercurial > repos > bgruening > ctb_machine_learning
comparison mds_plot.xml @ 0:fe542273784f draft default tip
Uploaded
author | bgruening |
---|---|
date | Thu, 15 Aug 2013 03:39:14 -0400 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
-1:000000000000 | 0:fe542273784f |
---|---|
1 <tool id="ctb_mds_plot" name="MDS Scatter Plot" version="0.1"> | |
2 <description>of molecule similarity</description> | |
3 <requirements> | |
4 <requirement type="package" version="0.13.1">scikit_learn</requirement> | |
5 <requirement type="package" version="1.2.1">matplotlib</requirement> | |
6 </requirements> | |
7 <command interpreter='python'> | |
8 mds_plot.py | |
9 -i $infile | |
10 --oformat $oformat | |
11 -o $outfile | |
12 </command> | |
13 <inputs> | |
14 <param name="infile" type="data" format="binary" label="Similarity Matrix"/> | |
15 <param name='oformat' type='select' format='text' label="Format of the resulting picture"> | |
16 <option value='png'>PNG</option> | |
17 <option value='svg'>SVG</option> | |
18 </param> | |
19 </inputs> | |
20 <outputs> | |
21 <data type="data" format="png" name="outfile" label="${tool.name} on ${on_string}"></data> | |
22 </outputs> | |
23 <tests> | |
24 <test> | |
25 <param name="infile" ftype="tabular" value="sm.dat" /> | |
26 <output ftype="png" name="outfile" file='mds_plot_on_sm_dat.png' /> | |
27 </test> | |
28 </tests> | |
29 <help> | |
30 | |
31 **Note**. You need an NxN similarity matrix as input. Use the NxN Clustering tool to generate one. | |
32 | |
33 **What it does** | |
34 | |
35 Scatter plot of similarity matrix after embeding in 2D coordinates using Multidimensional Scaling (MDS). | |
36 | |
37 ----- | |
38 | |
39 **Example** | |
40 | |
41 * input:: | |
42 Similarity Matrix | |
43 | |
44 * output:: | |
45 | |
46 Scatter plot | |
47 | |
48 .. image:: $PATH_TO_IMAGES/mds_plot.png | |
49 | |
50 </help> | |
51 | |
52 </tool> |