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metabolicfeatures

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Metabolic pathway enrichment for cell groups.

Data & Analytics#single-cell#enrichment#metabolic#scRNA-seq#pathway-analysis#gsea#fgsea
Authorpwwang
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Enrichment analysis helps researchers identify which metabolic pathways are active across different cell groups, enabling biological interpretation and hypothesis generation.

Core Features & Use Cases

  • GSEA-based enrichment: ranks pathways across clusters, treatments, or states using the fgsea algorithm for rapid, robust results.
  • Visualization: generates summary plots and GSEA enrichment curves to facilitate interpretation.
  • Group-level analyses: integrates with ScrnaMetabolicLandscape and MetabolicInput to produce cluster- or condition-specific enrichment results.

Quick Start

Run MetabolicFeatures on a Seurat object to generate pathway enrichment results and visualizations for each cluster.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: metabolicfeatures
Download link: https://github.com/pwwang/immunopipe/archive/main.zip#metabolicfeatures

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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