Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction

Recent growth in crop genomic and trait data have opened opportunities for the application of novel approaches to accelerate crop improvement. Machine learning and deep learning are at the forefront of prediction-based data analysis. However, few approaches for genotype to phenotype prediction compa...

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Detalles Bibliográficos
Autores principales: Gill, Mitchell, Anderson, Robyn, Hu, Haifei, Bennamoun, Mohammed, Petereit, Jakob, Valliyodan, Babu, Nguyen, Henry T., Batley, Jacqueline, Bayer, Philipp E., Edwards, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991976/
https://www.ncbi.nlm.nih.gov/pubmed/35395721
http://dx.doi.org/10.1186/s12870-022-03559-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991976/
https://www.ncbi.nlm.nih.gov/pubmed/35395721
http://dx.doi.org/10.1186/s12870-022-03559-z

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