harreman.hotspot.compute_top_scoring_modules#
- harreman.hotspot.compute_top_scoring_modules(adata, sd=1, use_super_modules=False)[source]#
Identify the top-scoring module (or super-module) for each cell.
- Parameters:
adata (AnnData) – Must contain a matrix of module or super-module scores in: -
obsm['module_scores']or -obsm['super_module_scores']sd (float, default 1) – Standard deviation threshold to determine strong module activation. Only modules with
zscore > sdare considered strictly activated.use_super_modules (bool, default False) – If True, select among super-modules instead of standard modules.
- Returns:
A Series indexed by cell, containing the name of the top-scoring module/super-module for each cell.
- Return type:
pandas.Series