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Bioinformatics. 2014 Aug 1;30(15):2230-2. doi: 10.1093/bioinformatics/btu172. Epub 2014 Apr 8.

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

Author information

1
The Donnelly Centre, University of Toronto, 160 College Street, M5S 3E1 Toronto, Ontario, Canada.

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.ca

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
24713437
PMCID:
PMC4103591
DOI:
10.1093/bioinformatics/btu172
[Indexed for MEDLINE]
Free PMC Article

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