PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition

Assays to characterize the epigenome and interrogate chromatin state genome wide have so far been performed in a selected set of conditions. Here, Durham et al. develop a computational method based on tensor decomposition to impute missing experiments in collections of epigenomics experiments.

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Detalles Bibliográficos
Autores principales:	Timothy J. Durham, Maxwell W. Libbrecht, J. Jeffry Howbert, Jeff Bilmes, William Stafford Noble
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7efe8cda7bfd4c9eb9281adc0e0e8c68
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id	oai:doaj.org-article:7efe8cda7bfd4c9eb9281adc0e0e8c68
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spelling	oai:doaj.org-article:7efe8cda7bfd4c9eb9281adc0e0e8c682021-12-02T17:31:27ZPREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition10.1038/s41467-018-03635-92041-1723https://doaj.org/article/7efe8cda7bfd4c9eb9281adc0e0e8c682018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03635-9https://doaj.org/toc/2041-1723Assays to characterize the epigenome and interrogate chromatin state genome wide have so far been performed in a selected set of conditions. Here, Durham et al. develop a computational method based on tensor decomposition to impute missing experiments in collections of epigenomics experiments.Timothy J. DurhamMaxwell W. LibbrechtJ. Jeffry HowbertJeff BilmesWilliam Stafford NobleNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-15 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Timothy J. Durham Maxwell W. Libbrecht J. Jeffry Howbert Jeff Bilmes William Stafford Noble PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
description	Assays to characterize the epigenome and interrogate chromatin state genome wide have so far been performed in a selected set of conditions. Here, Durham et al. develop a computational method based on tensor decomposition to impute missing experiments in collections of epigenomics experiments.
format	article
author	Timothy J. Durham Maxwell W. Libbrecht J. Jeffry Howbert Jeff Bilmes William Stafford Noble
author_facet	Timothy J. Durham Maxwell W. Libbrecht J. Jeffry Howbert Jeff Bilmes William Stafford Noble
author_sort	Timothy J. Durham
title	PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
title_short	PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
title_full	PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
title_fullStr	PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
title_full_unstemmed	PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
title_sort	predictd parallel epigenomics data imputation with cloud-based tensor decomposition
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/7efe8cda7bfd4c9eb9281adc0e0e8c68
work_keys_str_mv	AT timothyjdurham predictdparallelepigenomicsdataimputationwithcloudbasedtensordecomposition AT maxwellwlibbrecht predictdparallelepigenomicsdataimputationwithcloudbasedtensordecomposition AT jjeffryhowbert predictdparallelepigenomicsdataimputationwithcloudbasedtensordecomposition AT jeffbilmes predictdparallelepigenomicsdataimputationwithcloudbasedtensordecomposition AT williamstaffordnoble predictdparallelepigenomicsdataimputationwithcloudbasedtensordecomposition
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PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition

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