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Article

Prediction of cancer driver genes through network-based moment propagation of mutation scores.

Bioinformatics (Oxford, England) - 1 Jul 2020

Gumpinger Anja C, Lage Kasper, Horn Heiko, Borgwardt Karsten

Abstract excerpt

MOTIVATION: Gaining a comprehensive understanding of the genetics underlying cancer development and progression is a central goal of biomedical research. Its accomplishment promises key mechanistic, diagnostic and therapeutic insights. One major step in this direction is the identification of genes that drive the emergence of tumors upon mutation. Recent advances in the field of computational biology have shown...

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PMID: 32657361
DOI: 10.1093/bioinformatics/btaa452
PMCID: PMC7355253

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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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