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NetG2P: Network-based genotype-to-phenotype transformation identifies key signaling crosstalk for prognosis in pan-cancer study.

BMC biology - 24 Feb 2026

Lee Jonghyun, Jang Seok-Won, Lee Byungjo, Shin Jisu, Gong Jeong-Ryeol, Shin Dongkwan

Abstract excerpt

BACKGROUND: Despite advances in whole-genome sequencing and identifying cancer-associated genetic alterations, understanding the influence of multiple genetic alterations collectively on cancer phenotypes remains challenging, owing to mutation pattern complexity and variability. Here, we present the NETwork-based Genotype-to-Phenotype Transformation (NetG2P), which utilizes network propagation to translate...

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PMID: 41736082
DOI: 10.1186/s12915-026-02559-x
PMCID: PMC13037077

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