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Optimizing Genomic Parental Selection for Categorical and Continuous–Categorical Multi-Trait Mixtures.
- Published in:
- Genes, 2024, v. 15, n. 8, p. 995, doi. 10.3390/genes15080995
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A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets.
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- Genes, 2024, v. 15, n. 8, p. 969, doi. 10.3390/genes15080969
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Validation of an instrument to measure tutor performance in promoting self-directed learning by using confirmatory factor analysis.
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- Investigacion & Educacion en Enfermeria, 2016, v. 34, n. 1, p. 74, doi. 10.17533/udea.iee.v34n1a09
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Designing optimal training sets for genomic prediction using adversarial validation with probit regression.
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- Plant Breeding, 2023, v. 142, n. 5, p. 594, doi. 10.1111/pbr.13124
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Revised calculation of the coefficient of parentage in plant breeding.
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- Plant Breeding, 2023, v. 142, n. 1, p. 24, doi. 10.1111/pbr.13071
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The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data.
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- Frontiers in Plant Science, 2021, v. 12, p. N.PAG, doi. 10.3389/fpls.2021.651480
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- Article
Do feature selection methods for selecting environmental covariables enhance genomic prediction accuracy?
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- Frontiers in Genetics, 2023, p. 1, doi. 10.3389/fgene.2023.1209275
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- Article
Genomics combined with UAS data enhances prediction of grain yield in winter wheat.
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- Frontiers in Genetics, 2023, v. 14, p. 1, doi. 10.3389/fgene.2023.1124218
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Efficacy of plant breeding using genomic information.
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- Plant Genome, 2023, v. 16, n. 2, p. 1, doi. 10.1002/tpg2.20346
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Sparse multi‐trait genomic prediction under balanced incomplete block design.
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- Plant Genome, 2023, v. 16, n. 2, p. 1, doi. 10.1002/tpg2.20305
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Comparing gradient boosting machine and Bayesian threshold BLUP for genome‐based prediction of categorical traits in wheat breeding.
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- Plant Genome, 2022, v. 15, n. 3, p. 1, doi. 10.1002/tpg2.20214
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Using an incomplete block design to allocate lines to environments improves sparse genome‐based prediction in plant breeding.
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- Plant Genome, 2022, v. 15, n. 1, p. 1, doi. 10.1002/tpg2.20194
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- Article
Genome‐enabled prediction for sparse testing in multi‐environmental wheat trials.
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- Plant Genome, 2021, v. 14, n. 3, p. 1, doi. 10.1002/tpg2.20151
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- Article
Deep‐learning power and perspectives for genomic selection.
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- Plant Genome, 2021, v. 14, n. 3, p. 1, doi. 10.1002/tpg2.20122
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- Article
Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction.
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- Plant Genome, 2021, v. 14, n. 3, p. 1, doi. 10.1002/tpg2.20118
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- Article
Genome‐based prediction of multiple wheat quality traits in multiple years.
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- Plant Genome, 2020, v. 13, n. 3, p. 1, doi. 10.1002/tpg2.20034
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- Article
Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data.
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- Plant Genome, 2020, v. 13, n. 2, p. 1, doi. 10.1002/tpg2.20021
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- Article
Exploring Data Augmentation Algorithm to Improve Genomic Prediction of Top-Ranking Cultivars.
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- Algorithms, 2024, v. 17, n. 6, p. 260, doi. 10.3390/a17060260
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- Article
Modelos matemáticos para enfermedades infecciosas.
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- Salud Pública de México, 2007, v. 49, n. 3, p. 218
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- Article
Prioritization-Driven Congestion Control in Networks for the Internet of Medical Things: A Cross-Layer Proposal.
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- Sensors (14248220), 2023, v. 23, n. 2, p. 923, doi. 10.3390/s23020923
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- Article
Multivariate Genomic Hybrid Prediction with Kernels and Parental Information.
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- International Journal of Molecular Sciences, 2023, v. 24, n. 18, p. 13799, doi. 10.3390/ijms241813799
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- Article
Feature engineering of environmental covariates improves plant genomic-enabled prediction.
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- Frontiers in Plant Science, 2024, p. 01, doi. 10.3389/fpls.2024.1349569
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- Article
Deep learning methods improve genomic prediction of wheat breeding.
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- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1324090
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- Article
A marker weighting approach for enhancing within-family accuracy in genomic prediction.
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- G3: Genes | Genomes | Genetics, 2024, v. 14, n. 2, p. 1, doi. 10.1093/g3journal/jkad278
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- Article
Multimodal deep learning methods enhance genomic prediction of wheat breeding.
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- G3: Genes | Genomes | Genetics, 2023, v. 13, n. 5, p. 1, doi. 10.1093/g3journal/jkad045
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- Article
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data.
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- G3: Genes | Genomes | Genetics, 2023, v. 13, n. 2, p. 1, doi. 10.1093/g3journal/jkac313
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- Article
Bayesian multitrait kernel methods improve multienvironment genome-based prediction.
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- G3: Genes | Genomes | Genetics, 2022, v. 12, n. 2, p. 1, doi. 10.1093/g3journal/jkab406
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- Article
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials.
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- G3: Genes | Genomes | Genetics, 2021, v. 11, n. 10, p. 1, doi. 10.1093/g3journal/jkab270
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Prediction of count phenotypes using high-resolution images and genomic data.
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- G3: Genes | Genomes | Genetics, 2021, v. 11, n. 2, p. 1, doi. 10.1093/g3journal/jkab035
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- Article
A zero altered Poisson random forest model for genomic-enabled prediction.
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- G3: Genes | Genomes | Genetics, 2021, v. 11, n. 2, p. 1, doi. 10.1093/g3journal/jkaa057
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- Article
A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data.
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- G3: Genes | Genomes | Genetics, 2020, v. 10, n. 11, p. 4177, doi. 10.1534/g3.120.401631
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- Article
Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits.
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- G3: Genes | Genomes | Genetics, 2020, v. 10, n. 11, p. 4083, doi. 10.1534/g3.120.401733
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- Article
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 10, p. 3381, doi. 10.1534/g3.119.400336
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- Article
Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 9, p. 2925, doi. 10.1534/g3.119.400508
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- Article
Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 9, p. 2913, doi. 10.1534/g3.119.400493
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- Article
New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 5, p. 1545, doi. 10.1534/g3.119.300585
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- Article
An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based Prediction.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 5, p. 1355, doi. 10.1534/g3.119.400126
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Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 4, p. 1231, doi. 10.1534/g3.118.200856
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- Article
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding.
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- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 2, p. 601, doi. 10.1534/g3.118.200998
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- Article
Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits.
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- G3: Genes | Genomes | Genetics, 2018, v. 8, n. 12, p. 3829, doi. 10.1534/g3.118.200728
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- Article
BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models.
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- G3: Genes | Genomes | Genetics, 2018, v. 8, n. 9, p. 3039, doi. 10.1534/g3.118.200435
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- Article
Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials.
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- G3: Genes | Genomes | Genetics, 2018, v. 8, n. 4, p. 1347, doi. 10.1534/g3.117.300454
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- Publication type:
- Article
Prediction of Multiple-Trait and Multiple-Environment Genomic Data Using Recommender Systems.
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- G3: Genes | Genomes | Genetics, 2018, v. 8, n. 1, p. 131, doi. 10.1534/g3.117.300309
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- Article
A Variational Bayes Genomic-Enabled Prediction Model with Genotype x Environment Interaction.
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- G3: Genes | Genomes | Genetics, 2017, v. 7, n. 6, p. 1833, doi. 10.1534/g3.117.041202
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- Article
A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled Prediction.
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- G3: Genes | Genomes | Genetics, 2017, v. 7, n. 5, p. 1595, doi. 10.1534/g3.117.039974
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- Article
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models.
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- G3: Genes | Genomes | Genetics, 2017, v. 7, n. 1, p. 41, doi. 10.1534/g3.116.035584
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- Publication type:
- Article
A Genomic Bayesian Multi-trait and Multi-environment Model.
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- G3: Genes | Genomes | Genetics, 2016, v. 6, n. 9, p. 2725, doi. 10.1534/g3.116.032359
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- Article
Genomic Bayesian Prediction Model for Count Data with Genotype x Environment Interaction.
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- G3: Genes | Genomes | Genetics, 2016, v. 6, n. 5, p. 1165, doi. 10.1534/g3.116.028118
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- Article
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression.
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- G3: Genes | Genomes | Genetics, 2015, v. 5, n. 10, p. 2113, doi. 10.1534/g3.115.021154
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- Article
Data Augmentation Enhances Plant-Genomic-Enabled Predictions.
- Published in:
- Genes, 2024, v. 15, n. 3, p. 286, doi. 10.3390/genes15030286
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- Article