Hub genes in a pan-cancer co-expression network show potential for predicting drug responses.

ABSTRACT: Background: The topological analysis of networks extracted from different types of "omics" data is a useful strategy for characterizing biologically meaningful properties of the complex systems underlying these networks. In particular, the biological significance of highly connected genes in diverse molecular networks has been previously determined using data from several model organisms and phenotypes. Despite such insights, the predictive potential of candidate hubs in gene co-expression networks in the specific context of cancer-related drug experiments remains to be deeply investigated. The examination of such associations may offer opportunities for the accurate prediction of anticancer drug responses.  Methods: Here, we address this problem by: a) analyzing a co-expression network ob

SUBMITTER: Azuaje F 

PROVIDER: S-EPMC6406180 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature