multiWGCNA

multiWGCNA performs deep mining of gene co-expression networks in multi-trait expression data, providing functions for analyzing, comparing, and visualizing WGCNA networks across conditions.

Key Features:

• Multi-trait network analysis: Handles multiple biologically meaningful sample traits such as disease vs wildtype across development or anatomical region.
• Network comparison: Provides functions for comparing WGCNA networks across conditions.
• Network visualization: Provides functions for visualizing WGCNA networks across conditions.

Scientific Applications:

• Multi-condition gene co-expression analysis: Analyzes gene co-expression networks across multiple biological conditions or traits.
• Disease vs wildtype network comparison: Compares co-expression networks between disease and control states across developmental or anatomical contexts.

Methodology:

Implements weighted gene co-expression network analysis (WGCNA) extended for multi-trait expression data.