Toward learning the principles of plant gene regulation
Övrig text i vetenskaplig tidskrift, 2022
Advanced machine learning (ML) algorithms produce highly accurate models of gene expression, uncovering novel regulatory features in nucleotide sequences involving multiple cis-regulatory regions across whole genes and structural properties. These broaden our understanding of gene regulation and point to new principles to test and adopt in the field of plant science.
deep neural networks
gene regulatory structure
machine learning
DNA regulatory code
DNA motifs
gene expression prediction
Författare
Jan Zrimec
National Institute of Biology Ljubljana
Aleksej Zelezniak
Chalmers, Biologi och bioteknik, Systembiologi
Kristina Gruden
National Institute of Biology Ljubljana
Trends in Plant Science
1360-1385 (ISSN)
Vol. 27 12 1206-1208Ämneskategorier
Medicinsk genetik
Bioinformatik och systembiologi
Genetik
DOI
10.1016/j.tplants.2022.08.010
PubMed
36100536