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Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The linear models were linear on marker effects and included the Bayesian LASSO, B...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Genetics Society of America
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3516481/ https://ncbi.nlm.nih.gov/pubmed/23275882 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.112.003665 |
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