GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge

Inference and representation of differentiation trajectories from single cell RNA-seq data remains a challenge. Here, the authors offer a visualization approach that captures both continuous differentiation trajectories and discrete clusters representing metastable states along the trajectories.

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Detalles Bibliográficos
Autores principales:	Fabrizio Costa, Dominic Grün, Rolf Backofen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/92926193d3624cef9115605b6d25e5c3
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spelling	oai:doaj.org-article:92926193d3624cef9115605b6d25e5c32021-12-02T15:34:25ZGraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge10.1038/s41467-018-05988-72041-1723https://doaj.org/article/92926193d3624cef9115605b6d25e5c32018-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05988-7https://doaj.org/toc/2041-1723Inference and representation of differentiation trajectories from single cell RNA-seq data remains a challenge. Here, the authors offer a visualization approach that captures both continuous differentiation trajectories and discrete clusters representing metastable states along the trajectories.Fabrizio CostaDominic GrünRolf BackofenNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Fabrizio Costa Dominic Grün Rolf Backofen GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
description	Inference and representation of differentiation trajectories from single cell RNA-seq data remains a challenge. Here, the authors offer a visualization approach that captures both continuous differentiation trajectories and discrete clusters representing metastable states along the trajectories.
format	article
author	Fabrizio Costa Dominic Grün Rolf Backofen
author_facet	Fabrizio Costa Dominic Grün Rolf Backofen
author_sort	Fabrizio Costa
title	GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
title_short	GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
title_full	GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
title_fullStr	GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
title_full_unstemmed	GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
title_sort	graphddp: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/92926193d3624cef9115605b6d25e5c3
work_keys_str_mv	AT fabriziocosta graphddpagraphembeddingapproachtodetectdifferentiationpathwaysinsinglecelldatausingpriorclassknowledge AT dominicgrun graphddpagraphembeddingapproachtodetectdifferentiationpathwaysinsinglecelldatausingpriorclassknowledge AT rolfbackofen graphddpagraphembeddingapproachtodetectdifferentiationpathwaysinsinglecelldatausingpriorclassknowledge
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GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge

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