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Article

DEOD: uncovering dominant effects of cancer-driver genes based on a partial covariance selection method.

Bioinformatics (Oxford, England) - 1 Aug 2015

Amgalan Bayarbaatar, Lee Hyunju

Abstract excerpt

MOTIVATION: The generation of a large volume of cancer genomes has allowed us to identify disease-related alterations more accurately, which is expected to enhance our understanding regarding the mechanism of cancer development. With genomic alterations detected, one challenge is to pinpoint cancer-driver genes that cause functional abnormalities. RESULTS: Here, we propose a method for uncovering the dominant...

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Identifiers

PMID: 25819079
DOI: 10.1093/bioinformatics/btv175

Genes

MYC
TRPS1

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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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