comparison macros.xml @ 6:05631436cdf1 draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/anndata/ commit 58ea92c594280588f6045093d77af6d7d885185d"

5:7784821452ac

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>`__


**Loom data**

Loom files are an efficient file format for very large omics datasets, consisting of a main matrix, optional additional layers, a variable number of row and column annotations, and sparse graph objects.

6:05631436cdf1

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/generated/anndata.AnnData.html>`__


**Loom data**

Loom files are an efficient file format for very large omics datasets, consisting of a main matrix, optional additional layers, a variable number of row and column annotations, and sparse graph objects.