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New deep learning genomic-based prediction model for multiple traits with binary, ordinal, and continuous phenotypes 

Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-López, A.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between ...
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A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding 

Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-Lopez, A.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this ...

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Author
Crossa, J. (2)Gianola, D. (2)Juliana, P. (2)Martin Vallejo, F.J. (2)Montesinos-Lopez, O.A. (2)Montesinos-López, A. (2)Singh, R.P. (2)Hernandez-Suarez, C.M. (1)Hernández Suárez, C.M. (1)
Date Issued
2019 (2)
Type
Article (2)
Agrovoc
PLANT BREEDING (2)ARTIFICIAL SELECTION (1)BAYESIAN THEORY (1)CROP FORECASTING (1)DATA ANALYSIS (1)GENOMICS (1)MACHINE LEARNING (1)PHENOTYPES (1)STATISTICAL METHODS (1)... View More
Keywords
Deep Learning (2)
Genomic Prediction (2)Genomic Selection (2)
GenPred (2)
Shared Data Resources (2)Mixed Phenotypes (Binary Ordinal and Continuous) (1)Multiple-Trait (1)Support Vector Machine (1)Threshold GBLUP (1)... View More


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