MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models

MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models

Cancer progression is orchestrated by the accrual of mutations in driver genes, which endow malignant cells with a selective proliferative advantage. Identifying cancer driver genes is crucial for elucidating the molecular mechanisms of cancer, advancing targeted therapies, and uncovering novel biom...

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Bibliographic Details
Main Authors:	Yingzan Ren, Tiantian Zhang, Jian Liu, Fubin Ma, Jiaxin Chen, Ponian Li, Guodong Xiao, Chuanqi Sun, Yusen Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-02-01
Series:	Experimental Biology and Medicine
Subjects:	pan-cancer driver genes multi-omics data graph convolutional network graph attention network
Online Access:	https://www.ebm-journal.org/articles/10.3389/ebm.2025.10399/full
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