Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice

We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The dataset used contained genotypes for 50,112 SNP markers and phenotypes for 835 animals from 6...

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Detalles Bibliográficos
Autores principales: Perez, Bruno C, Bink, Marco C A M, Svenson, Karen L, Churchill, Gary A, Calus, Mario P L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982369/
https://www.ncbi.nlm.nih.gov/pubmed/35166767
http://dx.doi.org/10.1093/g3journal/jkac039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982369/
https://www.ncbi.nlm.nih.gov/pubmed/35166767
http://dx.doi.org/10.1093/g3journal/jkac039

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