Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana

Abstract Genome interpretation (GI) encompasses the computational attempts to model the relationship between genotype and phenotype with the goal of understanding how the first leads to the second. While traditional approaches have focused on sub-problems such as predicting the effect of single nucl...

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Detalhes bibliográficos

Principais autores:	Daniele Raimondi, Antoine Passemiers, Nora Verplaetse, Massimiliano Corso, Ángel Ferrero-Serrano, Nelson Nazzicari, Filippo Biscarini, Piero Fariselli, Yves Moreau
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-06-01
coleção:	Scientific Reports
Assuntos:	Arabidopsis thaliana Deep learning Ionome prediction Genomic prediction Genome interpretation
Acesso em linha:	https://doi.org/10.1038/s41598-024-63855-6
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