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.

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Jan Zrimec, Christoph S. Börlin, Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Verena Siewers, Vilhelm Verendel, Jens Nielsen, Mats Töpel, Aleksej Zelezniak
Format: article
Langue:EN
Publié: Nature Portfolio 2020
Sujets:
Q
Accès en ligne:https://doaj.org/article/a9186003c7214e17a2d079a1c50e08ae
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Description
Résumé: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.