metabolicpathwayheterogeneity

What problem does it solve?

Analyzes metabolic pathway heterogeneity within cell populations by computing normalized enrichment scores (NES) for each pathway across groups and identifying subpopulation-specific metabolic states using PCA and GSEA.

Core Features & Use Cases

• Compute NES per pathway across cell groups to quantify metabolic variability.
• Perform PCA-based heterogeneity analysis and FGSEA on PCs to highlight pathway-PC associations.
• Generate plots and rankings to interpret pathway heterogeneity across conditions, timepoints, or treatments.
• Integrate with GMT databases (e.g., KEGG, Reactome) via MetabolicInput for flexible analyses.

Quick Start

Run a complete heterogeneity analysis to identify variable metabolic pathways across your cell groups.