Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.

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Autores principales:	Jan Zrimec, Christoph S. Börlin, Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Verena Siewers, Vilhelm Verendel, Jens Nielsen, Mats Töpel, Aleksej Zelezniak
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a9186003c7214e17a2d079a1c50e08ae
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spelling	oai:doaj.org-article:a9186003c7214e17a2d079a1c50e08ae2021-12-02T17:32:57ZDeep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure10.1038/s41467-020-19921-42041-1723https://doaj.org/article/a9186003c7214e17a2d079a1c50e08ae2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19921-4https://doaj.org/toc/2041-1723Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.Jan ZrimecChristoph S. BörlinFilip BuricAzam Sheikh MuhammadRhongzen ChenVerena SiewersVilhelm VerendelJens NielsenMats TöpelAleksej ZelezniakNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jan Zrimec Christoph S. Börlin Filip Buric Azam Sheikh Muhammad Rhongzen Chen Verena Siewers Vilhelm Verendel Jens Nielsen Mats Töpel Aleksej Zelezniak Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
description	Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.
format	article
author	Jan Zrimec Christoph S. Börlin Filip Buric Azam Sheikh Muhammad Rhongzen Chen Verena Siewers Vilhelm Verendel Jens Nielsen Mats Töpel Aleksej Zelezniak
author_facet	Jan Zrimec Christoph S. Börlin Filip Buric Azam Sheikh Muhammad Rhongzen Chen Verena Siewers Vilhelm Verendel Jens Nielsen Mats Töpel Aleksej Zelezniak
author_sort	Jan Zrimec
title	Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
title_short	Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
title_full	Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
title_fullStr	Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
title_full_unstemmed	Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
title_sort	deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/a9186003c7214e17a2d079a1c50e08ae
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Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

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