Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data

BACKGROUND: Arguably, genotypes and phenotypes may be linked in functional forms that are not well addressed by the linear additive models that are standard in quantitative genetics. Therefore, developing statistical learning models for predicting phenotypic values from all available molecular infor...

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Detalles Bibliográficos
Autores principales: Morota, Gota, Koyama, Masanori, M Rosa, Guilherme J, Weigel, Kent A, Gianola, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706293/
https://www.ncbi.nlm.nih.gov/pubmed/23763755
http://dx.doi.org/10.1186/1297-9686-45-17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706293/
https://www.ncbi.nlm.nih.gov/pubmed/23763755
http://dx.doi.org/10.1186/1297-9686-45-17

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