Deep learning-based predictive identification of neural stem cell differentiation

The differentiation of neural stem cells (NSCs) into neurons is a critical part in devising potential cell-based therapeutic strategies for central nervous system diseases but NSCs fate determination and prediction is problematic. Here, the authors present a deep neural network model for predictable...

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Autores principales:	Yanjing Zhu, Ruiqi Huang, Zhourui Wu, Simin Song, Liming Cheng, Rongrong Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/da227bc7fc00436695a10f09d781bd5b
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spelling	oai:doaj.org-article:da227bc7fc00436695a10f09d781bd5b2021-12-02T17:02:20ZDeep learning-based predictive identification of neural stem cell differentiation10.1038/s41467-021-22758-02041-1723https://doaj.org/article/da227bc7fc00436695a10f09d781bd5b2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22758-0https://doaj.org/toc/2041-1723The differentiation of neural stem cells (NSCs) into neurons is a critical part in devising potential cell-based therapeutic strategies for central nervous system diseases but NSCs fate determination and prediction is problematic. Here, the authors present a deep neural network model for predictable reliable identification of NSCs fate.Yanjing ZhuRuiqi HuangZhourui WuSimin SongLiming ChengRongrong ZhuNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yanjing Zhu Ruiqi Huang Zhourui Wu Simin Song Liming Cheng Rongrong Zhu Deep learning-based predictive identification of neural stem cell differentiation
description	The differentiation of neural stem cells (NSCs) into neurons is a critical part in devising potential cell-based therapeutic strategies for central nervous system diseases but NSCs fate determination and prediction is problematic. Here, the authors present a deep neural network model for predictable reliable identification of NSCs fate.
format	article
author	Yanjing Zhu Ruiqi Huang Zhourui Wu Simin Song Liming Cheng Rongrong Zhu
author_facet	Yanjing Zhu Ruiqi Huang Zhourui Wu Simin Song Liming Cheng Rongrong Zhu
author_sort	Yanjing Zhu
title	Deep learning-based predictive identification of neural stem cell differentiation
title_short	Deep learning-based predictive identification of neural stem cell differentiation
title_full	Deep learning-based predictive identification of neural stem cell differentiation
title_fullStr	Deep learning-based predictive identification of neural stem cell differentiation
title_full_unstemmed	Deep learning-based predictive identification of neural stem cell differentiation
title_sort	deep learning-based predictive identification of neural stem cell differentiation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/da227bc7fc00436695a10f09d781bd5b
work_keys_str_mv	AT yanjingzhu deeplearningbasedpredictiveidentificationofneuralstemcelldifferentiation AT ruiqihuang deeplearningbasedpredictiveidentificationofneuralstemcelldifferentiation AT zhouruiwu deeplearningbasedpredictiveidentificationofneuralstemcelldifferentiation AT siminsong deeplearningbasedpredictiveidentificationofneuralstemcelldifferentiation AT limingcheng deeplearningbasedpredictiveidentificationofneuralstemcelldifferentiation AT rongrongzhu deeplearningbasedpredictiveidentificationofneuralstemcelldifferentiation
_version_	1718381937763024896

Deep learning-based predictive identification of neural stem cell differentiation

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