Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data

Abstract

Accurate identification of sub-compartments from chromatin interaction data remains a challenge. Here, the authors introduce an algorithm combining graph embedding and unsupervised learning to predict sub-compartments using Hi-C data.