Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network

Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network

Abstract Background Discovery of mutated driver genes is one of the primary objective for studying tumorigenesis. To discover some relatively low frequently mutated driver genes from somatic mutation data, many existing methods incorporate interaction network as prior information. However, the prior...

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Bibliographic Details
Main Authors: Jianing Xi, Minghui Wang, Ao Li
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Driver gene
Network regularization
Matrix factorization
Cancer
Bioinformatics
Online Access:http://link.springer.com/article/10.1186/s12859-018-2218-y

Internet

http://link.springer.com/article/10.1186/s12859-018-2218-y

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