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Article

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

Bioinformatics (Oxford, England) - 1 Aug 2014

Leung Alvin, Bader Gary D, Reimand Jüri

Abstract excerpt

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...

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Identifiers

PMID: 24713437
DOI: 10.1093/bioinformatics/btu172
PMCID: PMC4103591

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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