HoloNet.predicting.get_mgc_result_for_multiple_targets#

HoloNet.predicting.get_mgc_result_for_multiple_targets(trained_multi_MGC_model_list, X, adj, used_gene_list, adata, device='cpu')#

Run the trained MGC model and get the generated expression profile of target genes.

Parameters
trained_multi_MGC_model_list List[List[MGC_Model]]

A list of multiple (repeated training) trained MGC model for generating the expression of target genes.

X Tensor

The feature matrix used as the input of the trained_MGC_model_list.

adj Tensor

The adjacency matrix used as the input of the trained_MGC_model_list.

used_gene_list List[str]

The list of target gene names used as the target of the trained_MGC_model_list.

adata AnnData

Annotated data matrix.

Return type

DataFrame

Returns

: A dataframe for the generated expression of multiple genes in each cell.