omicverse.single.pyMOFA

omicverse.single.pyMOFA(omics: list, omics_name: list)[source]

Train MOFA models for latent factor discovery across multiple omics layers.

Parameters:
  • omics (list) – List of omics data matrices (for example RNA/ATAC/proteomics).

  • omics_name (list) – Names corresponding to each entry in omics.

Returns:

Initializes MOFA training inputs and metadata.

Return type:

None

Examples

>>> test_mofa = ov.single.pyMOFA(omics=[rna, atac], omics_name=["rna","atac"])