Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo

Integrative analyses that link molecular data to treatment sensitivity are essential for precision medicine. Here the authors introduce WON-PARAFAC to integrate multiple genomics data to identify sparse and interpretable factors.

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Autores principales:	Yongsoo Kim, Tycho Bismeijer, Wilbert Zwart, Lodewyk F. A. Wessels, Daniel J. Vis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2d768969dca140ab86ef9a6db53fb9f6
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spelling	oai:doaj.org-article:2d768969dca140ab86ef9a6db53fb9f62021-12-02T16:57:24ZGenomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo10.1038/s41467-019-13027-22041-1723https://doaj.org/article/2d768969dca140ab86ef9a6db53fb9f62019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13027-2https://doaj.org/toc/2041-1723Integrative analyses that link molecular data to treatment sensitivity are essential for precision medicine. Here the authors introduce WON-PARAFAC to integrate multiple genomics data to identify sparse and interpretable factors.Yongsoo KimTycho BismeijerWilbert ZwartLodewyk F. A. WesselsDaniel J. VisNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yongsoo Kim Tycho Bismeijer Wilbert Zwart Lodewyk F. A. Wessels Daniel J. Vis Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
description	Integrative analyses that link molecular data to treatment sensitivity are essential for precision medicine. Here the authors introduce WON-PARAFAC to integrate multiple genomics data to identify sparse and interpretable factors.
format	article
author	Yongsoo Kim Tycho Bismeijer Wilbert Zwart Lodewyk F. A. Wessels Daniel J. Vis
author_facet	Yongsoo Kim Tycho Bismeijer Wilbert Zwart Lodewyk F. A. Wessels Daniel J. Vis
author_sort	Yongsoo Kim
title	Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
title_short	Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
title_full	Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
title_fullStr	Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
title_full_unstemmed	Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
title_sort	genomic data integration by won-parafac identifies interpretable factors for predicting drug-sensitivity in vivo
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/2d768969dca140ab86ef9a6db53fb9f6
work_keys_str_mv	AT yongsookim genomicdataintegrationbywonparafacidentifiesinterpretablefactorsforpredictingdrugsensitivityinvivo AT tychobismeijer genomicdataintegrationbywonparafacidentifiesinterpretablefactorsforpredictingdrugsensitivityinvivo AT wilbertzwart genomicdataintegrationbywonparafacidentifiesinterpretablefactorsforpredictingdrugsensitivityinvivo AT lodewykfawessels genomicdataintegrationbywonparafacidentifiesinterpretablefactorsforpredictingdrugsensitivityinvivo AT danieljvis genomicdataintegrationbywonparafacidentifiesinterpretablefactorsforpredictingdrugsensitivityinvivo
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Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo

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