Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization

SIMPLE SUMMARY: Machine learning has been a crucial implement for genomic prediction. However, the complicated process of tuning hyperparameters tremendously hindered its application in actual breeding programs, especially for people without experience tuning hyperparameters. In this study, we appli...

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Detalles Bibliográficos
Autores principales: Liang, Mang, An, Bingxing, Li, Keanning, Du, Lili, Deng, Tianyu, Cao, Sheng, Du, Yueying, Xu, Lingyang, Gao, Xue, Zhang, Lupei, Li, Junya, Gao, Huijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688023/
https://www.ncbi.nlm.nih.gov/pubmed/36421361
http://dx.doi.org/10.3390/biology11111647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688023/
https://www.ncbi.nlm.nih.gov/pubmed/36421361
http://dx.doi.org/10.3390/biology11111647

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