DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring.

ABSTRACT:

Background

During transcription, numerous transcription factors (TFs) bind to targets in a highly coordinated manner to control the gene expression. Alterations in groups of TF-binding profiles (i.e. "co-binding changes") can affect the co-regulating associations between TFs (i.e. "rewiring the co-regulator network"). This, in turn, can potentially drive downstream expression changes, phenotypic variation, and even disease. However, quantification of co-regulatory network rewiring has not been comprehensively studied.

Results

To address this, we propose DiNeR, a computational method to directly construct a differential TF co-regulation network from paired disease-to-normal ChIP-seq data. Specifically, DiNeR uses a graphical model to capture the gained and lost edges in the c

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7333332 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature