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.

Bibliographic Details
Main Authors:	Xiaokang Wang, Navneet Rai, Beatriz Merchel Piovesan Pereira, Ameen Eetemadi, Ilias Tagkopoulos
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-10-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-18785-y

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spelling	doaj-502d1976d92e47d890e9fea7dc64c1512021-10-10T11:46:42ZengNature Publishing GroupNature Communications2041-17232020-10-011111910.1038/s41467-020-18785-yAccelerated knowledge discovery from omics data by optimal experimental designXiaokang Wang0Navneet Rai1Beatriz Merchel Piovesan Pereira2Ameen Eetemadi3Ilias Tagkopoulos4Department of Biomedical Engineering, University of CaliforniaGenome Center, University of CaliforniaGenome Center, University of CaliforniaGenome Center, University of CaliforniaGenome Center, University of CaliforniaHow 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.https://doi.org/10.1038/s41467-020-18785-y
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Xiaokang Wang Navneet Rai Beatriz Merchel Piovesan Pereira Ameen Eetemadi Ilias Tagkopoulos
spellingShingle	Xiaokang Wang Navneet Rai Beatriz Merchel Piovesan Pereira Ameen Eetemadi Ilias Tagkopoulos Accelerated knowledge discovery from omics data by optimal experimental design Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-10-01
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.
url	https://doi.org/10.1038/s41467-020-18785-y
work_keys_str_mv	AT xiaokangwang acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT navneetrai acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT beatrizmerchelpiovesanpereira acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT ameeneetemadi acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign AT iliastagkopoulos acceleratedknowledgediscoveryfromomicsdatabyoptimalexperimentaldesign
_version_	1716829507618340864

Accelerated knowledge discovery from omics data by optimal experimental design

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