Identification of active signaling pathways by integrating gene expression and protein interaction data.

ABSTRACT:

Background

Signaling pathways are the key biological mechanisms that transduce extracellular signals to affect transcription factor mediated gene regulation within cells. A number of computational methods have been developed to identify the topological structure of a specific signaling pathway using protein-protein interaction data, but they are not designed for identifying active signaling pathways in an unbiased manner. On the other hand, there are statistical methods based on gene sets or pathway data that can prioritize likely active signaling pathways, but they do not make full use of active pathway structure that link receptor, kinases and downstream transcription factors.

Results

Here, we present a method to simultaneously predict the set of active signaling pathways,

SUBMITTER: Kabir MH 

PROVIDER: S-EPMC6311899 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature