Reconstructing directed gene regulatory network by only gene expression data.

ABSTRACT:

Background

Accurately identifying gene regulatory network is an important task in understanding in vivo biological activities. The inference of such networks is often accomplished through the use of gene expression data. Many methods have been developed to evaluate gene expression dependencies between transcription factor and its target genes, and some methods also eliminate transitive interactions. The regulatory (or edge) direction is undetermined if the target gene is also a transcription factor. Some methods predict the regulatory directions in the gene regulatory networks by locating the eQTL single nucleotide polymorphism, or by observing the gene expression changes when knocking out/down the candidate transcript factors; regrettably, these additional data are usually unavail

SUBMITTER: Zhang L 

PROVIDER: S-EPMC5001240 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature