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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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2013
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| 主題: | |
| オンライン･アクセス: | 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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