Article
The effect of mislabeled phenotypic status on the identification of mutation-carriers from SNP genotypes in dairy cattle.
BMC research notes - 26 Jun 2017
Biffani Stefano, Pausch Hubert, Schwarzenbacher Hermann, Biscarini Filippo
Abstract excerpt
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 have been investigated in genome-wide association studies for case-control experiments, and in genomic predictions for...
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