Prioritizing predictive biomarkers for gene essentiality in cancer cells with mRNA expression data and DNA copy number profile | Zendy

Yuanfang Guan | Zendy; Tingyang Li | Zendy; Hongjiu Zhang | Zendy; Fan Zhu | Zendy; Gilbert S. Omenn | Zendy

Open Access

Prioritizing predictive biomarkers for gene essentiality in cancer cells with mRNA expression data and DNA copy number profile

Author(s) -

Yuanfang Guan,

Tingyang Li,

Hongjiu Zhang,

Fan Zhu,

Gilbert S. Omenn

Publication year - 2018

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/bty467

Subject(s) - copy number variation , gene dosage , gene , gene expression , computational biology , biology , dna , genetics , genome

Finding driver genes that are responsible for the aberrant proliferation rate of cancer cells is informative for both cancer research and the development of targeted drugs. The established experimental and computational methods are labor-intensive. To make algorithms feasible in real clinical settings, methods that can predict driver genes using less experimental data are urgently needed.

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