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HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery.


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.caSupplementary data are available at Bioinformatics online.

SUBMITTER: Leung A 

PROVIDER: S-EPMC4103591 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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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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