Accurate estimation of cell composition in bulk expression through robust integration of single-cell information

Traditional methods for determining cell type composition lack scalability, while single-cell technologies remain costly and noisy compared to bulk RNA-seq. Here, the authors present a highly efficient tool to measure cellular heterogeneity in bulk expression through robust integration of single-cel...

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Autores principales:	Brandon Jew, Marcus Alvarez, Elior Rahmani, Zong Miao, Arthur Ko, Kristina M. Garske, Jae Hoon Sul, Kirsi H. Pietiläinen, Päivi Pajukanta, Eran Halperin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/07339ac58220420b8ddba6c522aa9592
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spelling	oai:doaj.org-article:07339ac58220420b8ddba6c522aa95922021-12-02T14:42:13ZAccurate estimation of cell composition in bulk expression through robust integration of single-cell information10.1038/s41467-020-15816-62041-1723https://doaj.org/article/07339ac58220420b8ddba6c522aa95922020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15816-6https://doaj.org/toc/2041-1723Traditional methods for determining cell type composition lack scalability, while single-cell technologies remain costly and noisy compared to bulk RNA-seq. Here, the authors present a highly efficient tool to measure cellular heterogeneity in bulk expression through robust integration of single-cell information.Brandon JewMarcus AlvarezElior RahmaniZong MiaoArthur KoKristina M. GarskeJae Hoon SulKirsi H. PietiläinenPäivi PajukantaEran HalperinNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Brandon Jew Marcus Alvarez Elior Rahmani Zong Miao Arthur Ko Kristina M. Garske Jae Hoon Sul Kirsi H. Pietiläinen Päivi Pajukanta Eran Halperin Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
description	Traditional methods for determining cell type composition lack scalability, while single-cell technologies remain costly and noisy compared to bulk RNA-seq. Here, the authors present a highly efficient tool to measure cellular heterogeneity in bulk expression through robust integration of single-cell information.
format	article
author	Brandon Jew Marcus Alvarez Elior Rahmani Zong Miao Arthur Ko Kristina M. Garske Jae Hoon Sul Kirsi H. Pietiläinen Päivi Pajukanta Eran Halperin
author_facet	Brandon Jew Marcus Alvarez Elior Rahmani Zong Miao Arthur Ko Kristina M. Garske Jae Hoon Sul Kirsi H. Pietiläinen Päivi Pajukanta Eran Halperin
author_sort	Brandon Jew
title	Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
title_short	Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
title_full	Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
title_fullStr	Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
title_full_unstemmed	Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
title_sort	accurate estimation of cell composition in bulk expression through robust integration of single-cell information
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/07339ac58220420b8ddba6c522aa9592
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Accurate estimation of cell composition in bulk expression through robust integration of single-cell information

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