HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery.
Where this comes from
- Record sourced from PubMed, PMID 24713437.
- Also identified by DOI 10.1093/bioinformatics/btu172 and PMC identifier 4103591.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Correlating disease mutations with clinical and phenotypic information such as drug response or patient survival is an important goal of personalized cancer genomics and a first step in biomarker discovery. HyperModules is a network search algorithm that finds frequently mutated gene modules with significant clinical or phenotypic signatures from biomolecular interaction networks. HyperModules is available in Cytoscape App Store and as a command line tool at www.baderlab.org/Sofware/HyperModules. Juri.Reimand@utoronto.ca or Gary.Bader@utoronto.ca Supplementary data are available at Bioinformatics online.
Medical subject headings
- Algorithms
- Mutation
- Neoplasms
- Phenotype
- Software
- Systems Biology