Accelerated knowledge discovery from omics data by optimal experimental design

How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. Here, the authors present OPEX, an optimal experimental design method to identify informative omics experiments for both experimental space exploration and model training.

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Autores principales:	Xiaokang Wang, Navneet Rai, Beatriz Merchel Piovesan Pereira, Ameen Eetemadi, Ilias Tagkopoulos
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/502d1976d92e47d890e9fea7dc64c151
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id	oai:doaj.org-article:502d1976d92e47d890e9fea7dc64c151
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spelling	oai:doaj.org-article:502d1976d92e47d890e9fea7dc64c1512021-12-02T18:09:04ZAccelerated knowledge discovery from omics data by optimal experimental design10.1038/s41467-020-18785-y2041-1723https://doaj.org/article/502d1976d92e47d890e9fea7dc64c1512020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18785-yhttps://doaj.org/toc/2041-1723How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. Here, the authors present OPEX, an optimal experimental design method to identify informative omics experiments for both experimental space exploration and model training.Xiaokang WangNavneet RaiBeatriz Merchel Piovesan PereiraAmeen EetemadiIlias TagkopoulosNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Xiaokang Wang Navneet Rai Beatriz Merchel Piovesan Pereira Ameen Eetemadi Ilias Tagkopoulos Accelerated knowledge discovery from omics data by optimal experimental design
description	How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. Here, the authors present OPEX, an optimal experimental design method to identify informative omics experiments for both experimental space exploration and model training.
format	article
author	Xiaokang Wang Navneet Rai Beatriz Merchel Piovesan Pereira Ameen Eetemadi Ilias Tagkopoulos
author_facet	Xiaokang Wang Navneet Rai Beatriz Merchel Piovesan Pereira Ameen Eetemadi Ilias Tagkopoulos
author_sort	Xiaokang Wang
title	Accelerated knowledge discovery from omics data by optimal experimental design
title_short	Accelerated knowledge discovery from omics data by optimal experimental design
title_full	Accelerated knowledge discovery from omics data by optimal experimental design
title_fullStr	Accelerated knowledge discovery from omics data by optimal experimental design
title_full_unstemmed	Accelerated knowledge discovery from omics data by optimal experimental design
title_sort	accelerated knowledge discovery from omics data by optimal experimental design
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/502d1976d92e47d890e9fea7dc64c151
work_keys_str_mv	AT xiaokangwang acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT navneetrai acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT beatrizmerchelpiovesanpereira acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT ameeneetemadi acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT iliastagkopoulos acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign
_version_	1718378626562392064

Accelerated knowledge discovery from omics data by optimal experimental design

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