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.

Guardado en:

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 Q
Acceso en línea:	https://doaj.org/article/c528a5276a3e4bc18703af1d3cef5bed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c528a5276a3e4bc18703af1d3cef5bed
record_format	dspace
spelling	oai:doaj.org-article:c528a5276a3e4bc18703af1d3cef5bed2021-12-02T14:40:51ZGraph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data10.1038/s41467-020-14974-x2041-1723https://doaj.org/article/c528a5276a3e4bc18703af1d3cef5bed2020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14974-xhttps://doaj.org/toc/2041-1723Accurate 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.Haitham AshoorXiaowen ChenWojciech RosikiewiczJiahui WangAlbert ChengPing WangYijun RuanSheng LiNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Haitham Ashoor Xiaowen Chen Wojciech Rosikiewicz Jiahui Wang Albert Cheng Ping Wang Yijun Ruan Sheng Li Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
description	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.
format	article
author	Haitham Ashoor Xiaowen Chen Wojciech Rosikiewicz Jiahui Wang Albert Cheng Ping Wang Yijun Ruan Sheng Li
author_facet	Haitham Ashoor Xiaowen Chen Wojciech Rosikiewicz Jiahui Wang Albert Cheng Ping Wang Yijun Ruan Sheng Li
author_sort	Haitham Ashoor
title	Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
title_short	Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
title_full	Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
title_fullStr	Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
title_full_unstemmed	Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data
title_sort	graph embedding and unsupervised learning predict genomic sub-compartments from hic chromatin interaction data
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/c528a5276a3e4bc18703af1d3cef5bed
work_keys_str_mv	AT haithamashoor graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT xiaowenchen graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT wojciechrosikiewicz graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT jiahuiwang graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT albertcheng graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT pingwang graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT yijunruan graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata AT shengli graphembeddingandunsupervisedlearningpredictgenomicsubcompartmentsfromhicchromatininteractiondata
_version_	1718390134549774336

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

Ejemplares similares