comparison macros.xml @ 9:707023fa62fe draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/anndata/ commit 58ea92c594280588f6045093d77af6d7d885185d"
author iuc
date Sat, 07 May 2022 19:56:46 +0000
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comparison
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44 AnnData stores observations (samples) of variables (features) in the rows of a matrix. This is the convention of the modern classics 44 AnnData stores observations (samples) of variables (features) in the rows of a matrix. This is the convention of the modern classics
45 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 45 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
46 and machine learning packages in Python (statsmodels, scikit-learn). 46 and machine learning packages in Python (statsmodels, scikit-learn).
47 47
48 More details on the `AnnData documentation 48 More details on the `AnnData documentation
49 <https://anndata.readthedocs.io/en/latest/anndata.AnnData.html>`__ 49 <https://anndata.readthedocs.io/en/latest/generated/anndata.AnnData.html>`__
50 50
51 51
52 **Loom data** 52 **Loom data**
53 53
54 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. 54 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.