scSLAT.metrics.global_score

scSLAT.metrics.global_score(adatas, matching, biology_meta='', topology_meta='')

Calculate global score, which consider celltype and histology, in two aligned graph (higher means better)

Parameters:

• adatas (typing.List[anndata._core.anndata.AnnData]) – list of anndata object

• matching (typing.Union[numpy.ndarray, typing.List]) – matching result

• biology_meta (typing.Optional[str]) – colname of adata.obs which keeps the biology info such as celltype of cells

• topology_meta (typing.Optional[str]) – colname of adata.obs which keeps the topology info such as histology region of cells

Return type:

float

Returns:

global score of mapping, higher means better