bio-gene-regulatory-networks-coexpression-networks

What problem does it solve?

This skill helps researchers uncover modules of co-regulated genes from expression data and relate them to phenotypes by constructing weighted gene co-expression networks using WGCNA, CEMiTool, hdWGCNA, and PyWGCNA. It enables hub gene identification and module-trait relationship analysis in both bulk and single-cell datasets, providing end-to-end workflows for network discovery and interpretation.

Core Features & Use Cases

• Build weighted gene co-expression networks from RNA-seq data.
• Detect modules, compute module eigengenes, and correlate with sample traits.
• Identify hub genes and export module networks for Cytoscape.
• Support multiple toolchains (WGCNA, CEMiTool, hdWGCNA, PyWGCNA) for flexible analysis across data types.

Quick Start

Provide a normalized expression matrix and optional trait data to begin module discovery.