An entropy-based metric for assessing the purity of single cell populations

Single cell RNA-seq is a powerful method to assign cell identity, but the purity of cell clusters arising from this data is not clear. Here the authors present an entropy-based statistic called ROGUE to quantify the purity of cell clusters, and identify subtypes within clusters.

Guardado en:

Detalles Bibliográficos
Autores principales:	Baolin Liu, Chenwei Li, Ziyi Li, Dongfang Wang, Xianwen Ren, Zemin Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c2ec1f439bfd4b2a981eb0a38bcf1f51
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c2ec1f439bfd4b2a981eb0a38bcf1f51
record_format	dspace
spelling	oai:doaj.org-article:c2ec1f439bfd4b2a981eb0a38bcf1f512021-12-02T17:14:22ZAn entropy-based metric for assessing the purity of single cell populations10.1038/s41467-020-16904-32041-1723https://doaj.org/article/c2ec1f439bfd4b2a981eb0a38bcf1f512020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16904-3https://doaj.org/toc/2041-1723Single cell RNA-seq is a powerful method to assign cell identity, but the purity of cell clusters arising from this data is not clear. Here the authors present an entropy-based statistic called ROGUE to quantify the purity of cell clusters, and identify subtypes within clusters.Baolin LiuChenwei LiZiyi LiDongfang WangXianwen RenZemin ZhangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Baolin Liu Chenwei Li Ziyi Li Dongfang Wang Xianwen Ren Zemin Zhang An entropy-based metric for assessing the purity of single cell populations
description	Single cell RNA-seq is a powerful method to assign cell identity, but the purity of cell clusters arising from this data is not clear. Here the authors present an entropy-based statistic called ROGUE to quantify the purity of cell clusters, and identify subtypes within clusters.
format	article
author	Baolin Liu Chenwei Li Ziyi Li Dongfang Wang Xianwen Ren Zemin Zhang
author_facet	Baolin Liu Chenwei Li Ziyi Li Dongfang Wang Xianwen Ren Zemin Zhang
author_sort	Baolin Liu
title	An entropy-based metric for assessing the purity of single cell populations
title_short	An entropy-based metric for assessing the purity of single cell populations
title_full	An entropy-based metric for assessing the purity of single cell populations
title_fullStr	An entropy-based metric for assessing the purity of single cell populations
title_full_unstemmed	An entropy-based metric for assessing the purity of single cell populations
title_sort	entropy-based metric for assessing the purity of single cell populations
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/c2ec1f439bfd4b2a981eb0a38bcf1f51
work_keys_str_mv	AT baolinliu anentropybasedmetricforassessingthepurityofsinglecellpopulations AT chenweili anentropybasedmetricforassessingthepurityofsinglecellpopulations AT ziyili anentropybasedmetricforassessingthepurityofsinglecellpopulations AT dongfangwang anentropybasedmetricforassessingthepurityofsinglecellpopulations AT xianwenren anentropybasedmetricforassessingthepurityofsinglecellpopulations AT zeminzhang anentropybasedmetricforassessingthepurityofsinglecellpopulations AT baolinliu entropybasedmetricforassessingthepurityofsinglecellpopulations AT chenweili entropybasedmetricforassessingthepurityofsinglecellpopulations AT ziyili entropybasedmetricforassessingthepurityofsinglecellpopulations AT dongfangwang entropybasedmetricforassessingthepurityofsinglecellpopulations AT xianwenren entropybasedmetricforassessingthepurityofsinglecellpopulations AT zeminzhang entropybasedmetricforassessingthepurityofsinglecellpopulations
_version_	1718381343671320576

An entropy-based metric for assessing the purity of single cell populations

Ejemplares similares