bio-de-edger-basics
CommunityRobust edgeR-based differential expression analysis.
Data & Analytics#differential-expression#bioconductor#edgeR#statistical-testing#dispersion#rnaseq#glmqlfit
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
edgeR-based differential expression analysis for RNA-seq count data using the quasi-likelihood framework to identify condition-associated gene expression changes.
Core Features & Use Cases
- DGEList construction from count matrices with group annotations
- Filtering low-expression genes
- Normalization using TMM
- Design matrices for complex experiments
- Dispersion estimation and GLM quasi-likelihood testing
- Extraction of DE results with FDR control
- Use case: identify DE genes between treated vs control, adjusting for batch
Quick Start
Run edgeR on your count matrix to compare two groups and retrieve the top DE genes with FDR control
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-de-edger-basics Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-de-edger-basics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.