scparadise.sceve.predict#
- scparadise.sceve.predict(adata, path_model='', rna_modality_name='rna', second_modality_name='adt', return_mdata=True)[source]#
Predict (impute) the second modality in cells using the pretrained scEve model.
- Parameters:
adata (AnnData) – Annotated data matrix.
path_model (str, path object) – Path to the folder containing the trained scEve model.
rna_modality_name (str, (default: 'rna')) – Name of RNA (GEX) modality in MuData object.
second_modality_name (str, (default: 'adt')) – Name of protein (ADT) or ATAC-seq modality in MuData object.
return_mdata (bool, (default: True)) – If set ‘True’ return MuData object. If set ‘False’ return AnnData object with predicted (imputed) modality.