Mercurial > repos > iuc > anndata_manipulate
diff macros.xml @ 0:0ef28c0963c8 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/anndata/ commit 2e16aca90c4fc6f13bd024eed43bc4adbf5967da
author | iuc |
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date | Wed, 10 Apr 2019 03:25:05 -0400 |
parents | |
children | 19592ec717ef |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/macros.xml Wed Apr 10 03:25:05 2019 -0400 @@ -0,0 +1,62 @@ +<macros> + <token name="@VERSION@">0.6.19</token> + <token name="@GALAXY_VERSION@">galaxy0</token> + <xml name="requirements"> + <requirements> + <requirement type="package" version="@VERSION@">anndata</requirement> + <requirement type="package" version="1.4">scanpy</requirement> + <requirement type="package" version="2.0.17">loompy</requirement> + <yield /> + </requirements> + </xml> + <xml name="citations"> + <citations> + <citation type="doi">10.1186/s13059-017-1382-0</citation> + </citations> + </xml> + <xml name="version_command"> + <version_command><![CDATA[python -c "import anndata as ad;print('anndata version: %s' % ad.__version__)"]]></version_command> + </xml> + <token name="@CMD@"><![CDATA[ +cat '$script_file' && +python '$script_file' + ]]> + </token> + <token name="@CMD_imports@"><![CDATA[ +import anndata as ad + ]]> + </token> + <token name="@HELP@"><![CDATA[ +**AnnData** + +AnnData provides a scalable way of keeping track of data together with learned annotations. It is used within `Scanpy <https://github.com/theislab/scanpy>`__, for which it was initially developed. + +AnnData stores a data matrix `X` together with annotations of observations `obs`, variables `var` and unstructured annotations `uns`. + +.. image:: https://falexwolf.de/img/scanpy/anndata.svg + + +AnnData stores observations (samples) of variables (features) in the rows of a matrix. This is the convention of the modern classics +of statistics (`Hastie et al., 2009 <https://web.stanford.edu/~hastie/ElemStatLearn/>`__) and machine learning (Murphy, 2012), the convention of dataframes both in R and Python and the established statistics +and machine learning packages in Python (statsmodels, scikit-learn). + +More details on the `AnnData documentation +<https://anndata.readthedocs.io/en/latest/anndata.AnnData.html>`__ + ]]> + </token> + <xml name="params_chunk_X"> + <conditional name="chunk"> + <param name="info" type="select" label="How to select the chunk?"> + <option value="random">Random chunk of defined size</option> + <option value="specified">Specified indices</option> + </param> + <when value="random"> + <param name="size" type="integer" value="1000" label="Size of chunk to randomly select"/> + <param name="replace" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Random sampling of indices with replacement?"/> + </when> + <when value="specified"> + <param name="list" type="text" value="" label="List of comma-separated indices to return"/> + </when> + </conditional> + </xml> +</macros>