CDACHIE: chromatin domain annotation by integrating chromatin interaction and epigenomic data with contrastive learning.

ABSTRACT:

Motivation

Chromatin domain annotation identifies functional genomic regions, such as active and inactive zones, based on epigenomic features like histone modifications, DNA methylation, and chromatin accessibility. While recent methods have utilized both chromatin interaction data (e.g. Hi-C) and epigenomic data, they often overlook the direct relationship between these data types.

Results

In this study, we introduce Chromatin Domain Annotation using Contrastive Learning for Hi-C and Epigenomic Data (CDACHIE), a method for identifying chromatin domains from Hi-C and epigenomic data. Our approach leverages contrastive learning to generate aligned representative vectors for both data types at each genomic bin. The concatenated vectors are then clustered using K-means to class

SUBMITTER: Yoshinaga A 

PROVIDER: S-EPMC12422559 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature