infercnvpy.tl.umap#
- infercnvpy.tl.umap(adata, neighbors_key='cnv_neighbors', key_added='cnv_umap', inplace=True, **kwargs)#
Compute the UMAP on the result of
infercnvpy.tl.infercnv()
.Thin wrapper around
scanpy.tl.umap()
- Parameters:
adata (
AnnData
) – annotated data matrixneighbors_key (
str
(default:'cnv_neighbors'
)) – Key under which the result ofinfercnvpy.pp.neighbors()
is stored in adatakey_added (
str
(default:'cnv_umap'
)) – Key under which the result UMAP will be stored in adata.obsminplace (
bool
(default:True
)) – If True, store the result in adata.obsm, otherwise return the result of UMAP.**kwargs – Additional arguments passed to
scanpy.tl.umap()
.