SpaSRL.get_meta_genes#
- SpaSRL.get_meta_genes(adata, n_meta_genes=None, representation_key=None, copy=False)[source]#
Get functional meta gene score matrix using discriminant matrix.
- Parameters:
- adata :
AnnData Annotated data matrix.
- n_meta_genes :
int|NoneOptional[int] (default:None) Number of meta genes to return.
- representation_key :
str|NoneOptional[str] (default:None) If not specified, it looks .uns[‘representation’] for self-representation learning settings (default storage place for
run_SRL()). If specified, it looks .uns[representation_key] for self-representation learning settings.- copy :
bool(default:False) Return a copy instead of writing to
adata.
- adata :
- Return type:
- Returns:
Depending on
copy, returns or updatesadatawith the following fields updated.- .obsm[‘meta_genes’]
The meta gene score matrix.