StackEPI: identification of cell line-specific enhancer-promoter interactions based on stacking ensemble learning.

ABSTRACT:

Background

Understanding the regulatory role of enhancer-promoter interactions (EPIs) on specific gene expression in cells contributes to the understanding of gene regulation, cell differentiation, etc., and its identification has been a challenging task. On the one hand, using traditional wet experimental methods to identify EPIs often means a lot of human labor and time costs. On the other hand, although the currently proposed computational methods have good recognition effects, they generally require a long training time.

Results

In this study, we studied the EPIs of six human cell lines and designed a cell line-specific EPIs prediction method based on a stacking ensemble learning strategy, which has better prediction performance and faster training speed, called StackEPI

SUBMITTER: Fan Y 

PROVIDER: S-EPMC9277947 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature