<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=20157"><dc:title>Toward learning the principles of plant gene regulation</dc:title><dc:creator>Zrimec,	Jan	(Avtor)
	</dc:creator><dc:creator>Zelezniak,	Aleksej	(Avtor)
	</dc:creator><dc:creator>Gruden,	Kristina	(Avtor)
	</dc:creator><dc:subject>gene expression prediction</dc:subject><dc:subject>bioinformatics</dc:subject><dc:subject>deep learning</dc:subject><dc:subject>regulatory genomics</dc:subject><dc:description>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.

</dc:description><dc:date>2022</dc:date><dc:date>2024-08-06 14:52:48</dc:date><dc:type>Neznano</dc:type><dc:identifier>20157</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
