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

Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in the nucleus. However, accurately identifying sub-compartments from chromatin interaction data remains a challenge in computational biology. Here, we present Sub-Compartment Identifier (SC...

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Detalles Bibliográficos
Autores principales: Ashoor, Haitham, Chen, Xiaowen, Rosikiewicz, Wojciech, Wang, Jiahui, Cheng, Albert, Wang, Ping, Ruan, Yijun, Li, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054322/
https://www.ncbi.nlm.nih.gov/pubmed/32127534
http://dx.doi.org/10.1038/s41467-020-14974-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054322/
https://www.ncbi.nlm.nih.gov/pubmed/32127534
http://dx.doi.org/10.1038/s41467-020-14974-x

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