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

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

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.

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Detalles Bibliográficos
Autores principales: Haitham Ashoor, Xiaowen Chen, Wojciech Rosikiewicz, Jiahui Wang, Albert Cheng, Ping Wang, Yijun Ruan, Sheng Li
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Science
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Acceso en línea:https://doaj.org/article/c528a5276a3e4bc18703af1d3cef5bed
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