Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics

How to infer transient cells and cell-fate transitions from snap-shot single cell transcriptome dataset remains a major challenge. Here the authors present a multiscale approach to construct single-cell dynamical manifold, quantify cell stability, and compute transition trajectory and probability be...

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Autores principales:	Peijie Zhou, Shuxiong Wang, Tiejun Li, Qing Nie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9e98a51ef4064d648221ae7674fdbde4
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spelling	oai:doaj.org-article:9e98a51ef4064d648221ae7674fdbde42021-12-02T15:15:05ZDissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics10.1038/s41467-021-25548-w2041-1723https://doaj.org/article/9e98a51ef4064d648221ae7674fdbde42021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25548-whttps://doaj.org/toc/2041-1723How to infer transient cells and cell-fate transitions from snap-shot single cell transcriptome dataset remains a major challenge. Here the authors present a multiscale approach to construct single-cell dynamical manifold, quantify cell stability, and compute transition trajectory and probability between cell states.Peijie ZhouShuxiong WangTiejun LiQing NieNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Peijie Zhou Shuxiong Wang Tiejun Li Qing Nie Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
description	How to infer transient cells and cell-fate transitions from snap-shot single cell transcriptome dataset remains a major challenge. Here the authors present a multiscale approach to construct single-cell dynamical manifold, quantify cell stability, and compute transition trajectory and probability between cell states.
format	article
author	Peijie Zhou Shuxiong Wang Tiejun Li Qing Nie
author_facet	Peijie Zhou Shuxiong Wang Tiejun Li Qing Nie
author_sort	Peijie Zhou
title	Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
title_short	Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
title_full	Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
title_fullStr	Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
title_full_unstemmed	Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
title_sort	dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9e98a51ef4064d648221ae7674fdbde4
work_keys_str_mv	AT peijiezhou dissectingtransitioncellsfromsinglecelltranscriptomedatathroughmultiscalestochasticdynamics AT shuxiongwang dissectingtransitioncellsfromsinglecelltranscriptomedatathroughmultiscalestochasticdynamics AT tiejunli dissectingtransitioncellsfromsinglecelltranscriptomedatathroughmultiscalestochasticdynamics AT qingnie dissectingtransitioncellsfromsinglecelltranscriptomedatathroughmultiscalestochasticdynamics
_version_	1718387587705470976

Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics

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