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Article

MADGiC: a model-based approach for identifying driver genes in cancer.

Bioinformatics (Oxford, England) - 15 May 2015

Korthauer Keegan D, Kendziorski Christina

Abstract excerpt

MOTIVATION: Identifying and prioritizing somatic mutations is an important and challenging area of cancer research that can provide new insights into gene function as well as new targets for drug development. Most methods for prioritizing mutations rely primarily on frequency-based criteria, where a gene is identified as having a driver mutation if it is altered in significantly more samples than expected...

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Identifiers

PMID: 25573922
DOI: 10.1093/bioinformatics/btu858
PMCID: PMC4426832

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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