infercnvpy.tl.pca
- infercnvpy.tl.pca(adata, svd_solver='arpack', zero_center=False, inplace=True, use_rep='cnv', key_added='cnv_pca', **kwargs)
Compute the PCA on the result of
infercnvpy.tl.infercnv().Thin wrapper around
scanpy.tl.pca().- Parameters
- adata :
AnnData annotated data matrix
- svd_solver :
str(default:'arpack') See
scanpy.tl.pca().- zero_center :
bool(default:False) See
scanpy.tl.pca().- inplace :
bool(default:True) If True, store the result in adata.obsm. Otherwise return the PCA matrix.
- use_rep :
str(default:'cnv') Key under which the result of infercnv is stored in adata
- key_added :
str(default:'cnv_pca') Key under which the result will be stored in adata.obsm if
inplace=True.- **kwargs
Additional arguments passed to
scanpy.tl.pca().
- adata :
- Return type