scatrans.differential_expression_simple

scatrans.differential_expression_simple#

scatrans.differential_expression_simple(adata_input, groupby='condition', target_group='Disease', reference_group='Control', sample_col=None, *, copy_input=True, pydeseq2_min_counts=10)[source]#

Minimal-parameter differential expression (no velocity layers required).

Same backend auto-selection as active_score_simple(). For Memento, mixed models, or custom preprocess use differential_expression().

Parameters:

  • adata_input (Any)

  • groupby (str)

  • target_group (str)

  • reference_group (str)

  • sample_col (str | None)

  • copy_input (bool)

  • pydeseq2_min_counts (int)

Return type:

tuple[AnnData, DataFrame]