EPIP: a novel approach for condition-specific enhancer-promoter interaction prediction.

ABSTRACT:

Motivation

The identification of enhancer-promoter interactions (EPIs), especially condition-specific ones, is important for the study of gene transcriptional regulation. Existing experimental approaches for EPI identification are still expensive, and available computational methods either do not consider or have low performance in predicting condition-specific EPIs.

Results

We developed a novel computational method called EPIP to reliably predict EPIs, especially condition-specific ones. EPIP is capable of predicting interactions in samples with limited data as well as in samples with abundant data. Tested on more than eight cell lines, EPIP reliably identifies EPIs, with an average area under the receiver operating characteristic curve of 0.95 and an average area under the

SUBMITTER: Talukder A 

PROVIDER: S-EPMC7963088 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature