Detection of candidate tumor driver genes using a fully integrated Bayesian approach.

ABSTRACT: DNA copy number alterations (CNAs), including amplifications and deletions, can result in significant changes in gene expression and are closely related to the development and progression of many diseases, especially cancer. For example, CNA-associated expression changes in certain genes (called candidate tumor driver genes) can alter the expression levels of many downstream genes through transcription regulation and cause cancer. Identification of such candidate tumor driver genes leads to discovery of novel therapeutic targets for personalized treatment of cancers. Several approaches have been developed for this purpose by using both copy number and gene expression data. In this study, we propose a Bayesian approach to identify candidate tumor driver genes, in which the copy number and g

SUBMITTER: Yang J 

PROVIDER: S-EPMC3981913 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature