bento.tl.lp_diff_continuous

bento.tl.lp_diff_continuous(sdata, instance_key='cell_boundaries', phenotype=None)

Test correlation between localization patterns and continuous phenotype values.

Parameters:

• sdata (SpatialData) – Input SpatialData object with localization pattern results

• instance_key (str, default “cell_boundaries”) – Key for cell boundaries in sdata.shapes

• phenotype (str) – Column in sdata.shapes[instance_key] containing continuous values

Returns:

Modifies sdata.tables[“table”].uns[f’diff_{phenotype}’] with: - feature_name: Feature identifier - pattern: Pattern name - pearson_correlation: Correlation coefficient with phenotype

Return type:

None