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A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library.
Genes (Basel). 2022 Aug 21;13(8):1494. doi: 10.3390/genes13081494.
Genes (Basel). 2022.
PMID: 36011405
Free PMC article.
A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction.
Montesinos-López OA, Carter AH, Bernal-Sandoval DA, Cano-Paez B, Montesinos-López A, Crossa J.
Montesinos-López OA, et al. Among authors: cano paez b.
Genes (Basel). 2022 Dec 3;13(12):2282. doi: 10.3390/genes13122282.
Genes (Basel). 2022.
PMID: 36553547
Free PMC article.
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A Multi-Trait Gaussian Kernel Genomic Prediction Model under Three Tunning Strategies.
Kismiantini, Montesinos-López A, Cano-Páez B, Montesinos-López JC, Chavira-Flores M, Montesinos-López OA, Crossa J.
Kismiantini, et al. Among authors: cano paez b.
Genes (Basel). 2022 Dec 3;13(12):2279. doi: 10.3390/genes13122279.
Genes (Basel). 2022.
PMID: 36553548
Free PMC article.
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Feature engineering of environmental covariates improves plant genomic-enabled prediction.
Montesinos-López OA, Crespo-Herrera L, Pierre CS, Cano-Paez B, Huerta-Prado GI, Mosqueda-González BA, Ramos-Pulido S, Gerard G, Alnowibet K, Fritsche-Neto R, Montesinos-López A, Crossa J.
Montesinos-López OA, et al. Among authors: cano paez b.
Front Plant Sci. 2024 May 15;15:1349569. doi: 10.3389/fpls.2024.1349569. eCollection 2024.
Front Plant Sci. 2024.
PMID: 38812738
Free PMC article.
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