Finding gene network topologies for given biological function with recurrent neural network

Networks are useful ways to describe interactions between molecules in a cell, but predicting the real topology of large networks can be challenging. Here, the authors use deep learning to predict the topology of networks that perform biologically-plausible functions.

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Auteurs principaux:	Jingxiang Shen, Feng Liu, Yuhai Tu, Chao Tang
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2021
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/8d4a9caf655a48a7a4ae61cbbeee9d44
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spelling	oai:doaj.org-article:8d4a9caf655a48a7a4ae61cbbeee9d442021-12-02T16:52:57ZFinding gene network topologies for given biological function with recurrent neural network10.1038/s41467-021-23420-52041-1723https://doaj.org/article/8d4a9caf655a48a7a4ae61cbbeee9d442021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23420-5https://doaj.org/toc/2041-1723Networks are useful ways to describe interactions between molecules in a cell, but predicting the real topology of large networks can be challenging. Here, the authors use deep learning to predict the topology of networks that perform biologically-plausible functions.Jingxiang ShenFeng LiuYuhai TuChao TangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jingxiang Shen Feng Liu Yuhai Tu Chao Tang Finding gene network topologies for given biological function with recurrent neural network
description	Networks are useful ways to describe interactions between molecules in a cell, but predicting the real topology of large networks can be challenging. Here, the authors use deep learning to predict the topology of networks that perform biologically-plausible functions.
format	article
author	Jingxiang Shen Feng Liu Yuhai Tu Chao Tang
author_facet	Jingxiang Shen Feng Liu Yuhai Tu Chao Tang
author_sort	Jingxiang Shen
title	Finding gene network topologies for given biological function with recurrent neural network
title_short	Finding gene network topologies for given biological function with recurrent neural network
title_full	Finding gene network topologies for given biological function with recurrent neural network
title_fullStr	Finding gene network topologies for given biological function with recurrent neural network
title_full_unstemmed	Finding gene network topologies for given biological function with recurrent neural network
title_sort	finding gene network topologies for given biological function with recurrent neural network
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8d4a9caf655a48a7a4ae61cbbeee9d44
work_keys_str_mv	AT jingxiangshen findinggenenetworktopologiesforgivenbiologicalfunctionwithrecurrentneuralnetwork AT fengliu findinggenenetworktopologiesforgivenbiologicalfunctionwithrecurrentneuralnetwork AT yuhaitu findinggenenetworktopologiesforgivenbiologicalfunctionwithrecurrentneuralnetwork AT chaotang findinggenenetworktopologiesforgivenbiologicalfunctionwithrecurrentneuralnetwork
_version_	1718382932367769600

Finding gene network topologies for given biological function with recurrent neural network

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