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A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets.
- Published in:
- Genes, 2024, v. 15, n. 8, p. 969, doi. 10.3390/genes15080969
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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
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
Data Augmentation Enhances Plant-Genomic-Enabled Predictions.
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- Genes, 2024, v. 15, n. 3, p. 286, doi. 10.3390/genes15030286
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- Article
A marker weighting approach for enhancing within-family accuracy in genomic prediction.
- Published in:
- G3: Genes | Genomes | Genetics, 2024, v. 14, n. 2, p. 1, doi. 10.1093/g3journal/jkad278
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- Article
Bayesian discrete lognormal regression model for genomic prediction.
- Published in:
- Theoretical & Applied Genetics, 2024, v. 137, n. 1, p. 1, doi. 10.1007/s00122-023-04526-4
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- Article
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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- Article
Multivariate Genomic Hybrid Prediction with Kernels and Parental Information.
- Published in:
- International Journal of Molecular Sciences, 2023, v. 24, n. 18, p. 13799, doi. 10.3390/ijms241813799
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- Article
A novel method for genomic-enabled prediction of cultivars in new environments.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1218151
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- Publication type:
- Article
A novel method for genomic-enabled prediction of cultivars in new environments.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1218151
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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
Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-37169-y
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- Article
Sparse multi‐trait genomic prediction under balanced incomplete block design.
- Published in:
- Plant Genome, 2023, v. 16, n. 2, p. 1, doi. 10.1002/tpg2.20305
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- Article
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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- Article
Multimodal deep learning methods enhance genomic prediction of wheat breeding.
- Published in:
- G3: Genes | Genomes | Genetics, 2023, v. 13, n. 5, p. 1, doi. 10.1093/g3journal/jkad045
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- Publication type:
- Article
Statistical Machine-Learning Methods for Genomic Prediction Using the SKM Library.
- Published in:
- Genes, 2023, v. 14, n. 5, p. 1003, doi. 10.3390/genes14051003
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- Article
Two simple methods to improve the accuracy of the genomic selection methodology.
- Published in:
- BMC Genomics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12864-023-09294-5
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- Article
Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops.
- Published in:
- Genes, 2023, v. 14, n. 4, p. 927, doi. 10.3390/genes14040927
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- Article
Integrating Parental Phenotypic Data Enhances Prediction Accuracy of Hybrids in Wheat Traits.
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- Genes, 2023, v. 14, n. 2, p. 395, doi. 10.3390/genes14020395
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- Article
A Multi-Trait Gaussian Kernel Genomic Prediction Model under Three Tunning Strategies.
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- Genes, 2022, v. 13, n. 12, p. 2279, doi. 10.3390/genes13122279
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- Article
A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction.
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- Genes, 2022, v. 13, n. 12, p. 2282, doi. 10.3390/genes13122282
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- Article
A Revision of the Traditional Analysis Method of Allometry to Allow Extension of the Normality-Borne Complexity of Error Structure: Examining the Adequacy of a Normal-Mixture Distribution-Driven Error Term.
- Published in:
- BioMed Research International, 2022, p. 1, doi. 10.1155/2022/8310213
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- Publication type:
- Article
Multi-trait genome prediction of new environments with partial least squares.
- Published in:
- Frontiers in Genetics, 2022, v. 13, p. 1, doi. 10.3389/fgene.2022.966775
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- Article
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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- Article
A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library.
- Published in:
- Genes, 2022, v. 13, n. 8, p. 1494, doi. 10.3390/genes13081494
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- Publication type:
- Article
A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction.
- Published in:
- Frontiers in Genetics, 2022, p. 1, doi. 10.3389/fgene.2022.887643
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- Publication type:
- Article
Bayesian multitrait kernel methods improve multienvironment genome-based prediction.
- Published in:
- G3: Genes | Genomes | Genetics, 2022, v. 12, n. 2, p. 1, doi. 10.1093/g3journal/jkab406
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- Article
A New Deep Learning Calibration Method Enhances Genome-Based Prediction of Continuous Crop Traits.
- Published in:
- Frontiers in Genetics, 2021, v. 12, p. 1, doi. 10.3389/fgene.2021.798840
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- Article
Deep‐learning power and perspectives for genomic selection.
- Published in:
- Plant Genome, 2021, v. 14, n. 3, p. 1, doi. 10.1002/tpg2.20122
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- Publication type:
- 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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- 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 review of deep learning applications for genomic selection.
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- BMC Genomics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12864-020-07319-x
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- Article
Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits.
- Published in:
- G3: Genes | Genomes | Genetics, 2020, v. 10, n. 11, p. 4083, doi. 10.1534/g3.120.401733
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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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- Publication type:
- Article
Genome‐based prediction of multiple wheat quality traits in multiple years.
- Published in:
- Plant Genome, 2020, v. 13, n. 3, p. 1, doi. 10.1002/tpg2.20034
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- Publication type:
- Article
Phenomic selection and prediction of maize grain yield from near-infrared reflectance spectroscopy of kernels.
- Published in:
- Plant Phenome Journal, 2020, v. 3, n. 1, p. 1, doi. 10.1002/ppj2.20002
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- Publication type:
- Article
Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods.
- Published in:
- Frontiers in Plant Science, 2019, v. 10, p. 1, doi. 10.3389/fpls.2019.01311
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- Publication type:
- Article
Modeling Genotype x Environment Interaction Using a Factor Analytic Model of On-Farm Wheat Trials in the Yaqui Valley of Mexico.
- Published in:
- Agronomy Journal, 2019, v. 111, n. 6, p. 2647, doi. 10.2134/agronj2018.06.0361
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- Publication type:
- Article
Multivariate Bayesian Analysis of On-Farm Trials with Multiple-Trait and Multiple-Environment Data.
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- Agronomy Journal, 2019, v. 111, n. 6, p. 2658, doi. 10.2134/agronj2018.06.0362
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- Publication type:
- Article
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data.
- Published in:
- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 10, p. 3381, doi. 10.1534/g3.119.400336
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- Publication type:
- 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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- Publication type:
- 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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- Publication type:
- Article
New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.
- Published in:
- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 5, p. 1545, doi. 10.1534/g3.119.300585
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- Article
A robust Bayesian genome-based median regression model.
- Published in:
- Theoretical & Applied Genetics, 2019, v. 132, n. 5, p. 1587, doi. 10.1007/s00122-019-03303-6
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- Article
Examination of the Effects of Curvature in Geometrical Space on Accuracy of Scaling Derived Projections of Plant Biomass Units: Applications to the Assessment of Average Leaf Biomass in Eelgrass Shoots.
- Published in:
- BioMed Research International, 2019, p. 1, doi. 10.1155/2019/3613679
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- Publication type:
- Article
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding.
- Published in:
- G3: Genes | Genomes | Genetics, 2019, v. 9, n. 2, p. 601, doi. 10.1534/g3.118.200998
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- Publication type:
- 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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- Publication type:
- Article
Correction to: Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture.
- Published in:
- 2018
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- Publication type:
- Correction Notice
Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture.
- Published in:
- Plant Methods, 2018, v. 14, n. 1, p. N.PAG, doi. 10.1186/s13007-018-0314-7
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- Publication type:
- Article