BiologyComputer ScienceMedicine

Zhen-Xing Feng, Qian-zhong Li

2017.6.1GENOMICS

DOI: 10.1016/j.ygeno.2017.05.009

tlooto Summary

Using diverse genomic features for various regulatory regions, a computational approach to predict EPIs with improved accuracies is presented and additional insights into the roles of diverse signature features for predicting long-range EPIs are provided.

Abstract

Abstract is not available.

Citation format

FENG, Zhen-Xing; LI, Qian-zhong. Recognition of long-range enhancer-promoter interactions by adding genomic signatures of segmented regulatory regions. GENOMICS, 2017, 109 5-6(5-6): 341–352.