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().