Learning the Regulatory Code of Gene Expression

Learning the Regulatory Code of Gene Expression

Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleotide sequence, modeling gene expression events including protein-DNA binding, chromatin states as well as mRNA and protein levels. Deep neural networks automatically learn informative sequence represe...

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Bibliographic Details
Main Authors: Jan Zrimec, Filip Buric, Mariia Kokina, Victor Garcia, Aleksej Zelezniak
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
gene expression prediction
cis-regulatory grammar
gene regulatory structure
mRNA & protein abundance
chromatin accessibility
regulatory genomics
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.673363/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2021.673363/full

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