Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

Robust quantification of the differentiation potential of single cells is a task of great importance. Here the authors integrate single-cell RNA-Seq profiles with a cellular interaction network to compute the signaling entropy, and show that it can identify normal and cancer stem-cell phenotypes.

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Detalles Bibliográficos
Autores principales:	Andrew E. Teschendorff, Tariq Enver
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2b700eada7d045eeb538e7f30e6e4773
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spelling	oai:doaj.org-article:2b700eada7d045eeb538e7f30e6e47732021-12-02T15:39:01ZSingle-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome10.1038/ncomms155992041-1723https://doaj.org/article/2b700eada7d045eeb538e7f30e6e47732017-06-01T00:00:00Zhttps://doi.org/10.1038/ncomms15599https://doaj.org/toc/2041-1723Robust quantification of the differentiation potential of single cells is a task of great importance. Here the authors integrate single-cell RNA-Seq profiles with a cellular interaction network to compute the signaling entropy, and show that it can identify normal and cancer stem-cell phenotypes.Andrew E. TeschendorffTariq EnverNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Andrew E. Teschendorff Tariq Enver Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
description	Robust quantification of the differentiation potential of single cells is a task of great importance. Here the authors integrate single-cell RNA-Seq profiles with a cellular interaction network to compute the signaling entropy, and show that it can identify normal and cancer stem-cell phenotypes.
format	article
author	Andrew E. Teschendorff Tariq Enver
author_facet	Andrew E. Teschendorff Tariq Enver
author_sort	Andrew E. Teschendorff
title	Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
title_short	Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
title_full	Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
title_fullStr	Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
title_full_unstemmed	Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
title_sort	single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/2b700eada7d045eeb538e7f30e6e4773
work_keys_str_mv	AT andreweteschendorff singlecellentropyforaccurateestimationofdifferentiationpotencyfromacellstranscriptome AT tariqenver singlecellentropyforaccurateestimationofdifferentiationpotencyfromacellstranscriptome
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Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

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