infercnvpy.tl.tsne
- infercnvpy.tl.tsne(adata, use_rep='cnv_pca', key_added='cnv_tsne', inplace=True, **kwargs)
Compute the t-SNE on the result of
infercnvpy.tl.infercnv().Thin wrapper around
scanpy.tl.tsne()- Parameters
- adata :
AnnData annotated data matrix
- use_rep :
str(default:'cnv_pca') Key under which the result of
infercnvpy.tl.pca()is stored in adata- key_added :
str(default:'cnv_tsne') Key under which the result of t-SNE will be stored in adata.obsm
- inplace :
bool(default:True) If True, store the result in adata.obsm, otherwise return the result of t-SNE.
- **kwargs
Additional arguments passed to
scanpy.tl.tsne().
- adata :