Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder

The study of disease modules facilitates insight into complex diseases, but their identification relies on knowledge of molecular networks. Here, the authors show that disease modules and genes can also be discovered in deep autoencoder representations of large human gene expression datasets.

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Autores principales:	Sanjiv K. Dwivedi, Andreas Tjärnberg, Jesper Tegnér, Mika Gustafsson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/96fd96e94588460582e8f7d08f364317
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spelling	oai:doaj.org-article:96fd96e94588460582e8f7d08f3643172021-12-02T15:39:23ZDeriving disease modules from the compressed transcriptional space embedded in a deep autoencoder10.1038/s41467-020-14666-62041-1723https://doaj.org/article/96fd96e94588460582e8f7d08f3643172020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14666-6https://doaj.org/toc/2041-1723The study of disease modules facilitates insight into complex diseases, but their identification relies on knowledge of molecular networks. Here, the authors show that disease modules and genes can also be discovered in deep autoencoder representations of large human gene expression datasets.Sanjiv K. DwivediAndreas TjärnbergJesper TegnérMika GustafssonNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sanjiv K. Dwivedi Andreas Tjärnberg Jesper Tegnér Mika Gustafsson Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
description	The study of disease modules facilitates insight into complex diseases, but their identification relies on knowledge of molecular networks. Here, the authors show that disease modules and genes can also be discovered in deep autoencoder representations of large human gene expression datasets.
format	article
author	Sanjiv K. Dwivedi Andreas Tjärnberg Jesper Tegnér Mika Gustafsson
author_facet	Sanjiv K. Dwivedi Andreas Tjärnberg Jesper Tegnér Mika Gustafsson
author_sort	Sanjiv K. Dwivedi
title	Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
title_short	Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
title_full	Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
title_fullStr	Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
title_full_unstemmed	Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
title_sort	deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/96fd96e94588460582e8f7d08f364317
work_keys_str_mv	AT sanjivkdwivedi derivingdiseasemodulesfromthecompressedtranscriptionalspaceembeddedinadeepautoencoder AT andreastjarnberg derivingdiseasemodulesfromthecompressedtranscriptionalspaceembeddedinadeepautoencoder AT jespertegner derivingdiseasemodulesfromthecompressedtranscriptionalspaceembeddedinadeepautoencoder AT mikagustafsson derivingdiseasemodulesfromthecompressedtranscriptionalspaceembeddedinadeepautoencoder
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Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder

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