Unsupervised clustering and epigenetic classification of single cells

Single cell ATAC-seq (scATAC-seq) data reveals cellular level epigenetic heterogeneity but its application in delineating distinct subpopulations is still challenging. Here, the authors develop scABC, a statistical method for unsupervised clustering of scATAC-seq data and identification of open chro...

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Autores principales:	Mahdi Zamanighomi, Zhixiang Lin, Timothy Daley, Xi Chen, Zhana Duren, Alicia Schep, William J. Greenleaf, Wing Hung Wong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/981f5451f9b94168a52a12c4a38b1aab
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spelling	oai:doaj.org-article:981f5451f9b94168a52a12c4a38b1aab2021-12-02T17:32:33ZUnsupervised clustering and epigenetic classification of single cells10.1038/s41467-018-04629-32041-1723https://doaj.org/article/981f5451f9b94168a52a12c4a38b1aab2018-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04629-3https://doaj.org/toc/2041-1723Single cell ATAC-seq (scATAC-seq) data reveals cellular level epigenetic heterogeneity but its application in delineating distinct subpopulations is still challenging. Here, the authors develop scABC, a statistical method for unsupervised clustering of scATAC-seq data and identification of open chromatin regions specific to cell identity.Mahdi ZamanighomiZhixiang LinTimothy DaleyXi ChenZhana DurenAlicia SchepWilliam J. GreenleafWing Hung WongNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mahdi Zamanighomi Zhixiang Lin Timothy Daley Xi Chen Zhana Duren Alicia Schep William J. Greenleaf Wing Hung Wong Unsupervised clustering and epigenetic classification of single cells
description	Single cell ATAC-seq (scATAC-seq) data reveals cellular level epigenetic heterogeneity but its application in delineating distinct subpopulations is still challenging. Here, the authors develop scABC, a statistical method for unsupervised clustering of scATAC-seq data and identification of open chromatin regions specific to cell identity.
format	article
author	Mahdi Zamanighomi Zhixiang Lin Timothy Daley Xi Chen Zhana Duren Alicia Schep William J. Greenleaf Wing Hung Wong
author_facet	Mahdi Zamanighomi Zhixiang Lin Timothy Daley Xi Chen Zhana Duren Alicia Schep William J. Greenleaf Wing Hung Wong
author_sort	Mahdi Zamanighomi
title	Unsupervised clustering and epigenetic classification of single cells
title_short	Unsupervised clustering and epigenetic classification of single cells
title_full	Unsupervised clustering and epigenetic classification of single cells
title_fullStr	Unsupervised clustering and epigenetic classification of single cells
title_full_unstemmed	Unsupervised clustering and epigenetic classification of single cells
title_sort	unsupervised clustering and epigenetic classification of single cells
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/981f5451f9b94168a52a12c4a38b1aab
work_keys_str_mv	AT mahdizamanighomi unsupervisedclusteringandepigeneticclassificationofsinglecells AT zhixianglin unsupervisedclusteringandepigeneticclassificationofsinglecells AT timothydaley unsupervisedclusteringandepigeneticclassificationofsinglecells AT xichen unsupervisedclusteringandepigeneticclassificationofsinglecells AT zhanaduren unsupervisedclusteringandepigeneticclassificationofsinglecells AT aliciaschep unsupervisedclusteringandepigeneticclassificationofsinglecells AT williamjgreenleaf unsupervisedclusteringandepigeneticclassificationofsinglecells AT winghungwong unsupervisedclusteringandepigeneticclassificationofsinglecells
_version_	1718380263366459392

Unsupervised clustering and epigenetic classification of single cells

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