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Ensemble Learning of QTL Models Improves Prediction of Complex Traits
Quantitative trait locus (QTL) models can provide useful insights into trait genetic architecture because of their straightforward interpretability but are less useful for genetic prediction because of the difficulty in including the effects of numerous small effect loci without overfitting. Tight l...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Genetics Society of America
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592990/ https://www.ncbi.nlm.nih.gov/pubmed/26276383 http://dx.doi.org/10.1534/g3.115.021121 |