bulkrna-coexpression
OfficialDiscover gene networks and key players.
AuthorTianGzlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex process of identifying co-expressed gene modules and their key regulatory genes from bulk RNA-seq data, eliminating the need for manual R package installation and parameter tuning.
Core Features & Use Cases
- WGCNA-style Analysis: Performs weighted gene co-expression network analysis to detect gene modules.
- Hub Gene Identification: Pinpoints the most influential genes (hub genes) within each detected module.
- Use Case: A researcher wants to understand the biological pathways affected in a disease. They can use this Skill to find groups of genes that are co-regulated and identify the central genes driving these networks, which can then be further investigated for therapeutic targets.
Quick Start
Run the bulk RNA-seq co-expression analysis on my counts data.
Dependency Matrix
Required Modules
numpypandasscipymatplotlib
Components
scriptsreferences
💻 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: bulkrna-coexpression Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#bulkrna-coexpression Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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