Trajectory-based differential expression analysis for single-cell sequencing data

Downstream of trajectory inference for cell lineages based on scRNA-seq data, differential expression analysis yields insight into biological processes. Here, Van den Berge et al. develop tradeSeq, a framework for the inference of within and between-lineage differential expression, based on negative...

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Autores principales:	Koen Van den Berge, Hector Roux de Bézieux, Kelly Street, Wouter Saelens, Robrecht Cannoodt, Yvan Saeys, Sandrine Dudoit, Lieven Clement
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0c874e0070a24303a9dd9a0cbe23ac37
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spelling	oai:doaj.org-article:0c874e0070a24303a9dd9a0cbe23ac372021-12-02T17:31:24ZTrajectory-based differential expression analysis for single-cell sequencing data10.1038/s41467-020-14766-32041-1723https://doaj.org/article/0c874e0070a24303a9dd9a0cbe23ac372020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14766-3https://doaj.org/toc/2041-1723Downstream of trajectory inference for cell lineages based on scRNA-seq data, differential expression analysis yields insight into biological processes. Here, Van den Berge et al. develop tradeSeq, a framework for the inference of within and between-lineage differential expression, based on negative binomial generalized additive models.Koen Van den BergeHector Roux de BézieuxKelly StreetWouter SaelensRobrecht CannoodtYvan SaeysSandrine DudoitLieven ClementNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Koen Van den Berge Hector Roux de Bézieux Kelly Street Wouter Saelens Robrecht Cannoodt Yvan Saeys Sandrine Dudoit Lieven Clement Trajectory-based differential expression analysis for single-cell sequencing data
description	Downstream of trajectory inference for cell lineages based on scRNA-seq data, differential expression analysis yields insight into biological processes. Here, Van den Berge et al. develop tradeSeq, a framework for the inference of within and between-lineage differential expression, based on negative binomial generalized additive models.
format	article
author	Koen Van den Berge Hector Roux de Bézieux Kelly Street Wouter Saelens Robrecht Cannoodt Yvan Saeys Sandrine Dudoit Lieven Clement
author_facet	Koen Van den Berge Hector Roux de Bézieux Kelly Street Wouter Saelens Robrecht Cannoodt Yvan Saeys Sandrine Dudoit Lieven Clement
author_sort	Koen Van den Berge
title	Trajectory-based differential expression analysis for single-cell sequencing data
title_short	Trajectory-based differential expression analysis for single-cell sequencing data
title_full	Trajectory-based differential expression analysis for single-cell sequencing data
title_fullStr	Trajectory-based differential expression analysis for single-cell sequencing data
title_full_unstemmed	Trajectory-based differential expression analysis for single-cell sequencing data
title_sort	trajectory-based differential expression analysis for single-cell sequencing data
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/0c874e0070a24303a9dd9a0cbe23ac37
work_keys_str_mv	AT koenvandenberge trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT hectorrouxdebezieux trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT kellystreet trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT woutersaelens trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT robrechtcannoodt trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT yvansaeys trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT sandrinedudoit trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata AT lievenclement trajectorybaseddifferentialexpressionanalysisforsinglecellsequencingdata
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Trajectory-based differential expression analysis for single-cell sequencing data

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