Mercurial > repos > ebi-gxa > scanpy_run_tsne

annotate scanpy-run-tsne.xml @ 12:dccd544c21ca draft

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"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 62f47287c7e8449c59a1f1f454852ddc669b1b1e-dirty"
author ebi-gxa
date Mon, 07 Sep 2020 14:01:11 +0000
parents e61ba8b05578
children b5e1939cc155
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f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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1 <?xml version="1.0" encoding="utf-8"?>
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dccd544c21ca "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 62f47287c7e8449c59a1f1f454852ddc669b1b1e-dirty"
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2 <tool id="scanpy_run_tsne" name="Scanpy RunTSNE" version="@TOOL_VERSION@+galaxy0" profile="@PROFILE@">
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f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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3 <description>visualise cell clusters using tSNE</description>
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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4 <macros>
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2e74fd7b5f45 "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
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5 <import>scanpy_macros2.xml</import>
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f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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6 </macros>
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7 <expand macro="requirements"/>
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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8 <command detect_errors="exit_code"><![CDATA[
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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9 ln -s '${input_obj_file}' input.h5 &&
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2e74fd7b5f45 "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
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10 PYTHONIOENCODING=utf-8 scanpy-run-tsne
2e74fd7b5f45 "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
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11 #if $use_rep != "auto"
2e74fd7b5f45 "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
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12 --use-rep '${use_rep}'
2e74fd7b5f45 "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
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13 #end if
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14 #if $key_added
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15 --key-added '${key_added}'
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16 #end if
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17 #if $embeddings
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18 --export-embedding embeddings.tsv
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19 #end if
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20 #if $settings.default == "false"
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21 #if $settings.perplexity_file
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22 --perplexity \$( cat $settings.perplexity_file )
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23 #else
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24 --perplexity '${settings.perplexity}'
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25 #end if
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26 --early-exaggeration '${settings.early_exaggeration}'
2e74fd7b5f45 "planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
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27 --learning-rate '${settings.learning_rate}'
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28 #if $settings.n_pc
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29 --n-pcs ${settings.n_pc}
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30 #end if
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31 #if not $settings.fast_tsne
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32 --no-fast-tsne
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33 #end if
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34 #if $settings.n_job
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35 --n-jobs ${settings.n_job}
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36 #end if
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37 #if $settings.random_seed is not None
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38 --random-state ${settings.random_seed}
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39 #end if
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40 #end if
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41 @INPUT_OPTS@
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42 @OUTPUT_OPTS@
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43
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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44 ]]></command>
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45
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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46 <inputs>
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47 <expand macro="input_object_params"/>
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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48 <expand macro="output_object_params"/>
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49 <param name="embeddings" type="boolean" checked="true" label="Output embeddings in tsv format"/>
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50
1
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51 <param name="use_rep" argument="--use-rep" type="select" label="Use the indicated representation">
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52 <option value="X_pca">X_pca, use PCs</option>
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53 <option value="X">X, use normalised expression values</option>
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54 <option value="auto" selected="true">Automatically chosen based on problem size</option>
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55 </param>
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56 <param name="key_added" argument="--key-added" type="text" optional="true"
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57 label="Additional suffix to the name of the slot to save the embedding"/>
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58
0
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59 <conditional name="settings">
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60 <param name="default" type="boolean" checked="true" label="Use programme defaults"/>
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61 <when value="true"/>
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62 <when value="false">
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63 <param name="perplexity" argument="--perplexity" type="float" value="30" label="The perplexity is related to the number of nearest neighbours, select a value between 5 and 50"/>
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64 <param name="perplexity_file" argument="--perplexity" type="data" format="txt,tsv" label="The perplexity is related to the number of nearest neighbours" help="For use with the parameter iterator. Overrides the persplexity option above" optional="true"/>
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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65 <param name="early_exaggeration" argument="--early-exaggeration" type="float" value="12" label="Controls the tightness within and between clusters"/>
f6f189ce4ebc planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 9bf9a6e46a330890be932f60d1d996dd166426c4
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66 <param name="learning_rate" argument="--learning-rate" type="float" value="1000" label="Learning rate, should be between 100 and 1000"/>
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67 <param name="fast_tsne" type="boolean" checked="false" label="Use multicoreTSNE" help="Depending on the setup and version, the availability of the needed library might vary and hence fail."/>
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68 <param name="n_job" argument="--n-jobs" type="integer" optional="true" label="The number of jobs"/>
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69 <param name="n_pc" argument="--n-pcs" type="integer" optional="true" label="The number of PCs to use"/>
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70 <param name="random_seed" argument="--random-seed" type="integer" value="0" label="Seed for random number generator"/>
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71 </when>
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72 </conditional>
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73
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74 </inputs>
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75
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76 <outputs>
5
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77 <expand macro="output_data_obj" description="tSNE object"/>
12
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78 <data name="output_embed" format="tabular" from_work_dir="embeddings.tsv" label="${tool.name} on ${on_string}: tSNE embeddings">
0
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79 <filter>embeddings</filter>
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80 </data>
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81 </outputs>
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82
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83 <tests>
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84 <test>
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85 <param name="input_obj_file" value="find_cluster.h5"/>
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86 <param name="input_format" value="anndata"/>
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87 <param name="output_format" value="anndata"/>
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88 <param name="default" value="false"/>
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89 <param name="embeddings" value="true"/>
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90 <param name="random_seed" value="0"/>
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91 <output name="output_h5" file="run_tsne.h5" ftype="h5" compare="sim_size"/>
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92 <output name="output_embed" file="run_tsne.embeddings.tsv" ftype="tabular" compare="sim_size">
0
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93 <assert_contents>
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94 <has_n_columns n="3"/>
0
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95 </assert_contents>
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96 </output>
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97 </test>
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98 </tests>
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99
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100 <help><![CDATA[
1
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101 =========================================================================
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102 t-distributed stochastic neighborhood embedding (tSNE) (`scanpy.tl.tsne`)
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103 =========================================================================
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104
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105 For making TSNE plots, please use `Scanpy PlotEmbed` with the output of this tool and enter "tsne" as the
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106 name of the embedding to plot.
0
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107
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108 t-distributed stochastic neighborhood embedding (tSNE) (Maaten et al, 2008) has been
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109 proposed for visualizating single-cell data by (Amir et al, 2013). Here, by default,
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110 we use the implementation of *scikit-learn* (Pedregosa et al, 2011).
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111
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112 It yields `X_tsne`, tSNE coordinates of data.
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113
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114 @HELP@
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115
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116 @VERSION_HISTORY@
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117 ]]></help>
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118 <expand macro="citations"/>
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119 </tool>