Co-evolution based machine-learning for predicting functional interactions between human genes

With the rise in number of eukaryotic species being fully sequenced, large scale phylogenetic profiling can give insights on gene function, Here, the authors describe a machine-learning approach that integrates co-evolution across eukaryotic clades to predict gene function and functional interaction...

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Autores principales:	Doron Stupp, Elad Sharon, Idit Bloch, Marinka Zitnik, Or Zuk, Yuval Tabach
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/59ff6a7933cf40ff80afbe2c5b1265df
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spelling	oai:doaj.org-article:59ff6a7933cf40ff80afbe2c5b1265df2021-11-14T12:36:30ZCo-evolution based machine-learning for predicting functional interactions between human genes10.1038/s41467-021-26792-w2041-1723https://doaj.org/article/59ff6a7933cf40ff80afbe2c5b1265df2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26792-whttps://doaj.org/toc/2041-1723With the rise in number of eukaryotic species being fully sequenced, large scale phylogenetic profiling can give insights on gene function, Here, the authors describe a machine-learning approach that integrates co-evolution across eukaryotic clades to predict gene function and functional interactions among human genes.Doron StuppElad SharonIdit BlochMarinka ZitnikOr ZukYuval TabachNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Doron Stupp Elad Sharon Idit Bloch Marinka Zitnik Or Zuk Yuval Tabach Co-evolution based machine-learning for predicting functional interactions between human genes
description	With the rise in number of eukaryotic species being fully sequenced, large scale phylogenetic profiling can give insights on gene function, Here, the authors describe a machine-learning approach that integrates co-evolution across eukaryotic clades to predict gene function and functional interactions among human genes.
format	article
author	Doron Stupp Elad Sharon Idit Bloch Marinka Zitnik Or Zuk Yuval Tabach
author_facet	Doron Stupp Elad Sharon Idit Bloch Marinka Zitnik Or Zuk Yuval Tabach
author_sort	Doron Stupp
title	Co-evolution based machine-learning for predicting functional interactions between human genes
title_short	Co-evolution based machine-learning for predicting functional interactions between human genes
title_full	Co-evolution based machine-learning for predicting functional interactions between human genes
title_fullStr	Co-evolution based machine-learning for predicting functional interactions between human genes
title_full_unstemmed	Co-evolution based machine-learning for predicting functional interactions between human genes
title_sort	co-evolution based machine-learning for predicting functional interactions between human genes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/59ff6a7933cf40ff80afbe2c5b1265df
work_keys_str_mv	AT doronstupp coevolutionbasedmachinelearningforpredictingfunctionalinteractionsbetweenhumangenes AT eladsharon coevolutionbasedmachinelearningforpredictingfunctionalinteractionsbetweenhumangenes AT iditbloch coevolutionbasedmachinelearningforpredictingfunctionalinteractionsbetweenhumangenes AT marinkazitnik coevolutionbasedmachinelearningforpredictingfunctionalinteractionsbetweenhumangenes AT orzuk coevolutionbasedmachinelearningforpredictingfunctionalinteractionsbetweenhumangenes AT yuvaltabach coevolutionbasedmachinelearningforpredictingfunctionalinteractionsbetweenhumangenes
_version_	1718429107419611136

Co-evolution based machine-learning for predicting functional interactions between human genes

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