HIBLUP: an integration of statistical models on the BLUP framework for efficient genetic evaluation using big genomic data

Human diseases and agricultural traits can be predicted by modeling a genetic random polygenic effect in linear mixed models. To estimate variance components and predict random effects of the model efficiently with limited computational resources has always been of primary concern, especially when i...

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Detalles Bibliográficos
Autores principales: Yin, Lilin, Zhang, Haohao, Tang, Zhenshuang, Yin, Dong, Fu, Yuhua, Yuan, Xiaohui, Li, Xinyun, Liu, Xiaolei, Zhao, Shuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
NAR Breakthrough Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164590/
https://www.ncbi.nlm.nih.gov/pubmed/36809800
http://dx.doi.org/10.1093/nar/gkad074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164590/
https://www.ncbi.nlm.nih.gov/pubmed/36809800
http://dx.doi.org/10.1093/nar/gkad074

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