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Article

Statistically identifying tumor suppressors and oncogenes from pan-cancer genome-sequencing data.

Bioinformatics (Oxford, England) - 15 Nov 2015

Kumar Runjun D, Searleman Adam C, Swamidass S Joshua, Griffith Obi L, Bose Ron

Abstract excerpt

MOTIVATION: Several tools exist to identify cancer driver genes based on somatic mutation data. However, these tools do not account for subclasses of cancer genes: oncogenes, which undergo gain-of-function events, and tumor suppressor genes (TSGs) which undergo loss-of-function. A method which accounts for these subclasses could improve performance while also suggesting a mechanism of action for new putative...

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Source

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Identifiers

PMID: 26209800
DOI: 10.1093/bioinformatics/btv430
PMCID: PMC4757952

Genes

CACNG3
GPS2
HDAC2
NXF1

Provenance

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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