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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Библиографические подробности
Главные авторы: Morota, Gota, Koyama, Masanori, M Rosa, Guilherme J, Weigel, Kent A, Gianola, Daniel
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2013
Предметы:
Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3706293/
https://ncbi.nlm.nih.gov/pubmed/23763755
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1297-9686-45-17
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