IVEA: an integrative variational Bayesian inference method for predicting enhancer-gene regulatory interactions.

ABSTRACT:

Motivation

Enhancers play critical roles in cell-type-specific transcriptional control. Despite the identification of thousands of candidate enhancers, unravelling their regulatory relationships with their target genes remains challenging. Therefore, computational approaches are needed to accurately infer enhancer-gene regulatory relationships.

Results

In this study, we propose a new method, IVEA, that predicts enhancer-gene regulatory interactions by estimating promoter and enhancer activities. Its statistical model is based on the gene regulatory mechanism of transcriptional bursting, which is characterized by burst size and frequency controlled by promoters and enhancers, respectively. Using transcriptional readouts, chromatin accessibility, and chromatin contact data as

SUBMITTER: Kimura Y 

PROVIDER: S-EPMC11349192 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature