omicverse.micro.paired_cca

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omicverse.micro.paired_cca#

omicverse.micro.paired_cca(adata_microbe, adata_metabolite, n_components=3, clr_microbe=True, log1p_metabolite=True, max_iter=500)[source]#

Run sklearn CCA on the paired tables.

Returns a dict with keys:

  • cca — fitted sklearn.cross_decomposition.CCA

  • x_scores — sample × components (microbe side)

  • y_scores — sample × components (metabolite side)

  • microbe_loadings — DataFrame (features × components)

  • metabolite_loadings — DataFrame (features × components)

  • canonical_correlations — list of correlations per component

Parameters:

  • adata_microbe (AnnData)

  • adata_metabolite (AnnData)

  • n_components (int (default: 3))

  • clr_microbe (bool (default: True))

  • log1p_metabolite (bool (default: True))

  • max_iter (int (default: 500))

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