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Detailed modeling of positive selection improves detection of cancer driver genes

Authors :
Siming Zhao
Jun Liu
Pranav Nanga
Yuwen Liu
A. Ercument Cicek
Nicholas Knoblauch
Chuan He
Matthew Stephens
Xin He
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

Finding driver genes sheds lights on the biological mechanisms propelling the development of a tumour, and can suggest therapeutic strategies. Here, the authors develop driverMAPS, a model-based approach to identify driver genes, and apply it to TCGA datasets.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.2cfc4a4bb3344c3b518ce9ae9dea3be
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-019-11284-9