Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

Compared to bulk data, cell-type-specific DNA methylation data provide higher resolution of epigenetic variation. Here, the authors introduce Tensor Composition Analysis, a novel computational approach for learning cell-type-specific DNA methylation from tissue-level bulk data, and show its applicat...

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Autores principales:	Elior Rahmani, Regev Schweiger, Brooke Rhead, Lindsey A. Criswell, Lisa F. Barcellos, Eleazar Eskin, Saharon Rosset, Sriram Sankararaman, Eran Halperin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/120d561a07024d518d2de3464a531e81
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id	oai:doaj.org-article:120d561a07024d518d2de3464a531e81
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spelling	oai:doaj.org-article:120d561a07024d518d2de3464a531e812021-12-02T16:58:07ZCell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology10.1038/s41467-019-11052-92041-1723https://doaj.org/article/120d561a07024d518d2de3464a531e812019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11052-9https://doaj.org/toc/2041-1723Compared to bulk data, cell-type-specific DNA methylation data provide higher resolution of epigenetic variation. Here, the authors introduce Tensor Composition Analysis, a novel computational approach for learning cell-type-specific DNA methylation from tissue-level bulk data, and show its application in epigenome-wide association studies.Elior RahmaniRegev SchweigerBrooke RheadLindsey A. CriswellLisa F. BarcellosEleazar EskinSaharon RossetSriram SankararamanEran HalperinNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Elior Rahmani Regev Schweiger Brooke Rhead Lindsey A. Criswell Lisa F. Barcellos Eleazar Eskin Saharon Rosset Sriram Sankararaman Eran Halperin Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
description	Compared to bulk data, cell-type-specific DNA methylation data provide higher resolution of epigenetic variation. Here, the authors introduce Tensor Composition Analysis, a novel computational approach for learning cell-type-specific DNA methylation from tissue-level bulk data, and show its application in epigenome-wide association studies.
format	article
author	Elior Rahmani Regev Schweiger Brooke Rhead Lindsey A. Criswell Lisa F. Barcellos Eleazar Eskin Saharon Rosset Sriram Sankararaman Eran Halperin
author_facet	Elior Rahmani Regev Schweiger Brooke Rhead Lindsey A. Criswell Lisa F. Barcellos Eleazar Eskin Saharon Rosset Sriram Sankararaman Eran Halperin
author_sort	Elior Rahmani
title	Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
title_short	Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
title_full	Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
title_fullStr	Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
title_full_unstemmed	Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
title_sort	cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/120d561a07024d518d2de3464a531e81
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Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

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