DriverGroup: a novel method for identifying driver gene groups | Zendy

Vu Pham | Zendy; Lin Liu | Zendy; Cameron P. Bracken | Zendy; Gregory J. Goodall | Zendy; Jiuyong Li | Zendy; Thuc Duy Le | Zendy

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DriverGroup: a novel method for identifying driver gene groups

Author(s) -

Vu Pham,

Lin Liu,

Cameron P. Bracken,

Gregory J. Goodall,

Jiuyong Li,

Thuc Duy Le

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa797

Subject(s) - informatics , gene , cancer , computer science , key (lock) , breast cancer , computational biology , gene regulatory network , biology , gene expression , genetics , computer security , electrical engineering , engineering

Identifying cancer driver genes is a key task in cancer informatics. Most existing methods are focused on individual cancer drivers which regulate biological processes leading to cancer. However, the effect of a single gene may not be sufficient to drive cancer progression. Here, we hypothesize that there are driver gene groups that work in concert to regulate cancer, and we develop a novel computational method to detect those driver gene groups.

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