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Article

A new correlation clustering method for cancer mutation analysis.

Bioinformatics (Oxford, England) - 15 Dec 2016

Hou Jack P, Emad Amin, Puleo Gregory J, Ma Jian, Milenkovic Olgica

Abstract excerpt

MOTIVATION: Cancer genomes exhibit a large number of different alterations that affect many genes in a diverse manner. An improved understanding of the generative mechanisms behind the mutation rules and their influence on gene community behavior is of great importance for the study of cancer. RESULTS: To expand our capability to analyze combinatorial patterns of cancer alterations, we developed a rigorous...

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Identifiers

PMID: 27540270
DOI: 10.1093/bioinformatics/btw546
PMCID: PMC6078169

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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