A Stacking Ensemble Learning Framework for Genomic Prediction

Machine learning (ML) is perhaps the most useful tool for the interpretation of large genomic datasets. However, the performance of a single machine learning method in genomic selection (GS) is currently unsatisfactory. To improve the genomic predictions, we constructed a stacking ensemble learning...

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Detalles Bibliográficos
Autores principales: Liang, Mang, Chang, Tianpeng, An, Bingxing, Duan, Xinghai, Du, Lili, Wang, Xiaoqiao, Miao, Jian, Xu, Lingyang, Gao, Xue, Zhang, Lupei, Li, Junya, Gao, Huijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969712/
https://www.ncbi.nlm.nih.gov/pubmed/33747037
http://dx.doi.org/10.3389/fgene.2021.600040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969712/
https://www.ncbi.nlm.nih.gov/pubmed/33747037
http://dx.doi.org/10.3389/fgene.2021.600040

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