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...

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Detalles Bibliográficos
Autores principales: Biffani, Stefano, Pausch, Hubert, Schwarzenbacher, Hermann, Biscarini, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
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

Internet

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

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