sc-communication

Official

Map cell-cell interactions.

AuthorTianGzlab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the complex and error-prone process of identifying and quantifying cell-cell communication pathways from single-cell RNA sequencing data.

Core Features & Use Cases

  • Ligand-Receptor Analysis: Scores potential interactions between cell types using various established methods (CellChat, NicheNet, LIANA) or a built-in database.
  • Multi-Method Consensus: Integrates results from multiple tools for more robust predictions.
  • Visualization: Generates plots to visualize communication networks and key interactions.
  • Use Case: Analyze how immune cells communicate with tumor cells in a cancer microenvironment to identify potential therapeutic targets.

Quick Start

Run cell-cell communication analysis on your processed single-cell data using the default method.

Dependency Matrix

Required Modules

scanpynumpypandas

Components

scriptsreferencesassets

💻 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: sc-communication
Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#sc-communication

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