Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data

Changes in cell state underlie the difference between health and disease. Here, the authors propose a computational framework for the integration of gene expression and chromatin-accessibility data from single cells to identify differences in gene regulation in cell types across two conditions.

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Autores principales:	Zhana Duren, Wenhui Sophia Lu, Joseph G. Arthur, Preyas Shah, Jingxue Xin, Francesca Meschi, Miranda Lin Li, Corey M. Nemec, Yifeng Yin, Wing Hung Wong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9c4fc70938c445fdbe6641ebdbf16cd2
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spelling	oai:doaj.org-article:9c4fc70938c445fdbe6641ebdbf16cd22021-12-02T14:53:51ZSc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data10.1038/s41467-021-25089-22041-1723https://doaj.org/article/9c4fc70938c445fdbe6641ebdbf16cd22021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25089-2https://doaj.org/toc/2041-1723Changes in cell state underlie the difference between health and disease. Here, the authors propose a computational framework for the integration of gene expression and chromatin-accessibility data from single cells to identify differences in gene regulation in cell types across two conditions.Zhana DurenWenhui Sophia LuJoseph G. ArthurPreyas ShahJingxue XinFrancesca MeschiMiranda Lin LiCorey M. NemecYifeng YinWing Hung WongNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zhana Duren Wenhui Sophia Lu Joseph G. Arthur Preyas Shah Jingxue Xin Francesca Meschi Miranda Lin Li Corey M. Nemec Yifeng Yin Wing Hung Wong Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data
description	Changes in cell state underlie the difference between health and disease. Here, the authors propose a computational framework for the integration of gene expression and chromatin-accessibility data from single cells to identify differences in gene regulation in cell types across two conditions.
format	article
author	Zhana Duren Wenhui Sophia Lu Joseph G. Arthur Preyas Shah Jingxue Xin Francesca Meschi Miranda Lin Li Corey M. Nemec Yifeng Yin Wing Hung Wong
author_facet	Zhana Duren Wenhui Sophia Lu Joseph G. Arthur Preyas Shah Jingxue Xin Francesca Meschi Miranda Lin Li Corey M. Nemec Yifeng Yin Wing Hung Wong
author_sort	Zhana Duren
title	Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data
title_short	Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data
title_full	Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data
title_fullStr	Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data
title_full_unstemmed	Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data
title_sort	sc-compreg enables the comparison of gene regulatory networks between conditions using single-cell data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9c4fc70938c445fdbe6641ebdbf16cd2
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Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data

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