bio-gene-regulatory-networks-differential-networks
CommunityReveal rewired gene networks across conditions.
Data & Analytics#network-analysis#co-expression#differential-network#gene-regulatory#fisher-z-transform#fdr#diffcorr
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Compare gene co-expression networks across biological conditions to identify rewired regulatory relationships, such as gained, lost, or reversed correlations, enabling insight into regulatory changes in disease, treatment, or development.
Core Features & Use Cases
- Differential network analysis across conditions to reveal rewiring of gene-gene interactions.
- Fisher's z-transform testing with BH FDR correction, plus edge classification (gained, lost, reversed) and hub-gene identification.
- Visualization and downstream analysis of differential networks to prioritize candidates for further study.
Quick Start
Load per-condition expression data, run the differential network workflow, and inspect the resulting rewired edge classifications.
Dependency Matrix
Required Modules
None requiredComponents
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: bio-gene-regulatory-networks-differential-networks Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-gene-regulatory-networks-differential-networks Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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