Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test

Spatial organization of the genome plays a crucial role in regulating gene expression. Here the authors introduce GMAP, the Gaussian Mixture model And Proportion test, to identify topologically associating domains and subdomains in Hi-C data.

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Detalles Bibliográficos
Autores principales:	Wenbao Yu, Bing He, Kai Tan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/324439f719804898a27e1bc7c4641b2d
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spelling	oai:doaj.org-article:324439f719804898a27e1bc7c4641b2d2021-12-02T14:42:37ZIdentifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test10.1038/s41467-017-00478-82041-1723https://doaj.org/article/324439f719804898a27e1bc7c4641b2d2017-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00478-8https://doaj.org/toc/2041-1723Spatial organization of the genome plays a crucial role in regulating gene expression. Here the authors introduce GMAP, the Gaussian Mixture model And Proportion test, to identify topologically associating domains and subdomains in Hi-C data.Wenbao YuBing HeKai TanNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Wenbao Yu Bing He Kai Tan Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test
description	Spatial organization of the genome plays a crucial role in regulating gene expression. Here the authors introduce GMAP, the Gaussian Mixture model And Proportion test, to identify topologically associating domains and subdomains in Hi-C data.
format	article
author	Wenbao Yu Bing He Kai Tan
author_facet	Wenbao Yu Bing He Kai Tan
author_sort	Wenbao Yu
title	Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test
title_short	Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test
title_full	Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test
title_fullStr	Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test
title_full_unstemmed	Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test
title_sort	identifying topologically associating domains and subdomains by gaussian mixture model and proportion test
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/324439f719804898a27e1bc7c4641b2d
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Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test

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