Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer.

ABSTRACT:

Background

Recent advances in high-throughput technology and the emergence of large-scale genomic datasets have enabled detection of genomic features that affect clinical outcomes. Although many previous computational studies have analysed the effect of each single gene or the additive effects of multiple genes on the clinical outcome, less attention has been devoted to the identification of gene-gene interactions of general type that are associated with the clinical outcome. Moreover, the integration of information from multiple molecular profiles adds another challenge to this problem. Recently, network-based approaches have gained huge popularity. However, previous network construction methods have been more concerned with the relationship between features only, rather than the

SUBMITTER: Jeong HH 

PROVIDER: S-EPMC4491426 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature