HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery.
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ABSTRACT: Summary
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.Availability and implementation
HyperModules is available in Cytoscape App Store and as a command line tool at www.baderlab.org/Sofware/HyperModules.Contact
Juri.Reimand@utoronto.ca or Gary.Bader@utoronto.caSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Leung A
PROVIDER: S-EPMC4103591 | biostudies-literature | 2014 Aug
REPOSITORIES: biostudies-literature
Publications
HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery.
Leung Alvin A Bader Gary D GD Reimand Jüri J
Bioinformatics (Oxford, England) 20140408 15
<h4>Summary</h4>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.<h4>Availability and implementation</h4>HyperModules is available in Cytoscape App Store and as a com ...[more]
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