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Article

Ontology-based prediction of cancer driver genes.

Scientific reports - 22 Nov 2019

Althubaiti Sara, Karwath Andreas, Dallol Ashraf, Noor Adeeb, Alkhayyat Shadi Salem, Alwassia Rolina, Mineta Katsuhiko, Gojobori Takashi, Beggs Andrew D, Schofield Paul N, Gkoutos Georgios V, Hoehndorf Robert

Abstract excerpt

Identifying and distinguishing cancer driver genes among thousands of candidate mutations remains a major challenge. Accurate identification of driver genes and driver mutations is critical for advancing cancer research and personalizing treatment based on accurate stratification of patients. Due to inter-tumor genetic heterogeneity many driver mutations within a gene occur at low frequencies, which make it...

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Identifiers

PMID: 31757986
DOI: 10.1038/s41598-019-53454-1
PMCID: PMC6874647

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

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