pathway-enrichment-compare

To compare pathway enrichment between two gene lists, load your gene sets into adata.uns['enrichment_genes_groups'] as a dictionary with exactly two groups, then run the enrichment to generate results and a mirrored bar plot.

A mirrored bar plot for gene-set enrichment displays enriched terms for two groups on opposite sides of a central axis, enabling quick visual comparison of distinguishing biological signals across groups.

Yes, you can use MSigDB Hallmark, KEGG, GO, or Reactome gene-set libraries for scRNA-seq enrichment comparison by specifying your chosen library when running the two-group enrichment analysis.

Set up adata.uns for two-group pathway enrichment by creating a dictionary at adata.uns['enrichment_genes_groups'] containing exactly two gene lists, then the analysis stores results in adata.uns and generates a mirrored plot.

The best way to visualize pathway enrichment differences across two cell populations is a mirrored bar plot, which places enriched terms for each group on opposite sides for direct visual comparison of biological signals.

Two-group enrichment comparison requires exactly two gene lists in adata.uns because the mirrored bar plot is designed to contrast exactly two groups, placing their enriched pathways on opposite sides to reveal distinguishing biological signals.