A general and flexible method for signal extraction from single-cell RNA-seq data

Single-cell RNA sequencing (scRNA-seq) data provides information on transcriptomic heterogeneity within cell populations. Here, Risso et al develop ZINB-WaVE for low-dimensional representations of scRNA-seq data that account for zero inflation, over-dispersion, and the count nature of the data.

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Autores principales:	Davide Risso, Fanny Perraudeau, Svetlana Gribkova, Sandrine Dudoit, Jean-Philippe Vert
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/73054fb866f04910a8b3edfde47347e8
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spelling	oai:doaj.org-article:73054fb866f04910a8b3edfde47347e82021-12-02T16:56:54ZA general and flexible method for signal extraction from single-cell RNA-seq data10.1038/s41467-017-02554-52041-1723https://doaj.org/article/73054fb866f04910a8b3edfde47347e82018-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02554-5https://doaj.org/toc/2041-1723Single-cell RNA sequencing (scRNA-seq) data provides information on transcriptomic heterogeneity within cell populations. Here, Risso et al develop ZINB-WaVE for low-dimensional representations of scRNA-seq data that account for zero inflation, over-dispersion, and the count nature of the data.Davide RissoFanny PerraudeauSvetlana GribkovaSandrine DudoitJean-Philippe VertNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-17 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Davide Risso Fanny Perraudeau Svetlana Gribkova Sandrine Dudoit Jean-Philippe Vert A general and flexible method for signal extraction from single-cell RNA-seq data
description	Single-cell RNA sequencing (scRNA-seq) data provides information on transcriptomic heterogeneity within cell populations. Here, Risso et al develop ZINB-WaVE for low-dimensional representations of scRNA-seq data that account for zero inflation, over-dispersion, and the count nature of the data.
format	article
author	Davide Risso Fanny Perraudeau Svetlana Gribkova Sandrine Dudoit Jean-Philippe Vert
author_facet	Davide Risso Fanny Perraudeau Svetlana Gribkova Sandrine Dudoit Jean-Philippe Vert
author_sort	Davide Risso
title	A general and flexible method for signal extraction from single-cell RNA-seq data
title_short	A general and flexible method for signal extraction from single-cell RNA-seq data
title_full	A general and flexible method for signal extraction from single-cell RNA-seq data
title_fullStr	A general and flexible method for signal extraction from single-cell RNA-seq data
title_full_unstemmed	A general and flexible method for signal extraction from single-cell RNA-seq data
title_sort	general and flexible method for signal extraction from single-cell rna-seq data
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/73054fb866f04910a8b3edfde47347e8
work_keys_str_mv	AT daviderisso ageneralandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT fannyperraudeau ageneralandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT svetlanagribkova ageneralandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT sandrinedudoit ageneralandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT jeanphilippevert ageneralandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT daviderisso generalandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT fannyperraudeau generalandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT svetlanagribkova generalandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT sandrinedudoit generalandflexiblemethodforsignalextractionfromsinglecellrnaseqdata AT jeanphilippevert generalandflexiblemethodforsignalextractionfromsinglecellrnaseqdata
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A general and flexible method for signal extraction from single-cell RNA-seq data

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