COMMO

COMMO identifies consensus gene modules from genome-wide mRNA and protein expression profiles to improve robustness in detecting functionally related gene modules.

Key Features:

• Integration of Multiple Methods: Incorporates eight module detection algorithms and two consensus clustering techniques to derive consensus gene modules.
• Extensive Data Resources: Provides mRNA and protein expression data for 33 cancer types sourced from three public databases.
• Functional Enrichment and Survival Analyses: Performs functional enrichment analysis and two types of survival analysis on detected gene modules.

Scientific Applications:

• Precision medicine: Identification of consensus gene modules across cancer types to inform targeted therapeutic strategies.
• Robust module discovery: Detection of biologically significant gene module patterns that may be obscured by single-method approaches.

Methodology:

Integration of eight module detection algorithms and two consensus clustering techniques to derive consensus gene modules, followed by functional enrichment and two types of survival analysis.