KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters

Advances in high-throughput sequencing technologies have reduced the cost of genotyping dramatically and led to genomic prediction being widely used in animal and plant breeding, and increasingly in human genetics. Inspired by the efficient computing of linear mixed model and the accurate prediction...

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Detalles Bibliográficos
Autores principales: Yin, Lilin, Zhang, Haohao, Zhou, Xiang, Yuan, Xiaohui, Zhao, Shuhong, Li, Xinyun, Liu, Xiaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386246/
https://www.ncbi.nlm.nih.gov/pubmed/32552725
http://dx.doi.org/10.1186/s13059-020-02052-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386246/
https://www.ncbi.nlm.nih.gov/pubmed/32552725
http://dx.doi.org/10.1186/s13059-020-02052-w

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