Class-balanced negative training sets for improving classifier model predictions of enhancer-promoter interactions

Abstract Background Enhancers regulate gene expression by forming DNA loops, thereby bringing themselves in close proximity to the target gene promoter. The human genome contains hundreds of thousands of enhancers, vastly outnumbering its 20,000–25,000 protein-coding genes, highlighting the importan...

Full description

Saved in:
Bibliographic Details
Main Authors: Osamu Maruyama, Tsukasa Koga
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-025-06171-8
Tags: Add Tag
No Tags, Be the first to tag this record!