scSLAT.model.utils.run_SLAT_multi

scSLAT.model.utils.run_SLAT_multi(adatas, order=None, k_cutoff=10, feature='DPCA', cos_cutoff=0.85, n_jobs=-1, top_K=50)

Run SLAT on multi-dataset for 3D re-construct

Parameters:

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

• order (typing.Optional[list]) – biological order of the slides

• k_cutoff (typing.Optional[int]) – k nearest neighbor

• feature (typing.Optional[str]) – feature to use, one of [‘DPCA’, ‘PCA’, ‘harmony’]

• cos_cutoff (typing.Optional[float]) – cosine similarity cutoff of mapping results

• n_jobs (typing.Optional[int]) – cpu cores to use

• top_K (typing.Optional[int]) – top K smooth mapping results

Return type:

typing.List[numpy.ndarray]

Returns:

• matching_list – list of precise mapping results

• index_list – list of top mapping index