epiScanpy
Anna
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Usage Principles
System Requirements
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API
Count Matrices: CT
Preprocessing: PP
episcanpy.pp.coverage_cells
episcanpy.pp.select_var_feature
episcanpy.pp.binarize
episcanpy.pp.lazy
episcanpy.pp.load_metadata
episcanpy.pp.read_ATAC_10x
episcanpy.pp.filter_cells
episcanpy.pp.filter_features
episcanpy.pp.normalize_total
episcanpy.pp.pca
episcanpy.pp.normalize_per_cell
episcanpy.pp.regress_out
episcanpy.pp.subsample
episcanpy.pp.downsample_counts
episcanpy.pp.neighbors
episcanpy.pp.sparse
Methylation matrices
Tools: TL
Plotting: PL
References
epiScanpy
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episcanpy.pp.sparse
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episcanpy.pp.sparse
¶
episcanpy.pp.
sparse
(
adata
,
copy=False
)
¶
Transform adata.X from a matrix or array to a csc sparse matrix.
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