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The effect of mislabeled phenotypic status on the identification of mutation-carriers from SNP genotypes in dairy cattle
BACKGROUND: Statistical and machine learning applications are increasingly popular in animal breeding and genetics, especially to compute genomic predictions for phenotypes of interest. Noise (errors) in the data may have a negative impact on the accuracy of predictions. The effects of noisy data ha...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485573/ https://www.ncbi.nlm.nih.gov/pubmed/28651561 http://dx.doi.org/10.1186/s13104-017-2540-x |