Genomic prediction in plants: opportunities for ensemble machine learning based approaches

Background: Many studies have demonstrated the utility of machine learning (ML) methods for genomic prediction (GP) of various plant traits, but a clear rationale for choosing ML over conventionally used, often simpler parametric methods, is still lacking. Predictive performance of GP models might d...

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Detalles Bibliográficos
Autores principales: Farooq, Muhammad, van Dijk, Aalt D.J., Nijveen, Harm, Mansoor, Shahid, de Ridder, Dick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080209/
https://www.ncbi.nlm.nih.gov/pubmed/37035464
http://dx.doi.org/10.12688/f1000research.122437.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080209/
https://www.ncbi.nlm.nih.gov/pubmed/37035464
http://dx.doi.org/10.12688/f1000research.122437.2

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