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Article
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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 ...
Article
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Maximum a posteriori Threshold Genomic Prediction model for ordinal traits 

Montesinos-López, A.; Gutierrez-Pulido, H.; Montesinos-Lopez, O.A.; Crossa, J. (Genetics Society of America, 2020)

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Author
Crossa, J. (2)Montesinos-Lopez, O.A. (2)Montesinos-López, A. (2)Gianola, D. (1)Gutierrez-Pulido, H. (1)Hernández Suárez, C.M. (1)Juliana, P. (1)Martin Vallejo, F.J. (1)Singh, R.P. (1)
Date Issued
2020 (1)2019 (1)
Type
Article (2)
Agrovoc
BAYESIAN THEORY (2)ARTIFICIAL SELECTION (1)CROP FORECASTING (1)DATA ANALYSIS (1)MACHINE LEARNING (1)MARKER-ASSISTED SELECTION (1)MODELS (1)PLANT BREEDING (1)STATISTICAL METHODS (1)... View More
Keywords
Genomic Prediction (2)Genomic Selection (2)
GenPred (2)
Shared Data Resources (2)
Support Vector Machine (2)
Deep Learning (1)EM Algorithm (1)Maximum a Posteriori Estimation (1)Multinomial Ridge Regression (1)Threshold GBLUP (1)... View More


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