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Article

A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library.

Genes - 21 Aug 2022

Montesinos-López Osval A, Montesinos-López Abelardo, Cano-Paez Bernabe, Hernández-Suárez Carlos Moisés, Santana-Mancilla Pedro C, Crossa José

Abstract excerpt

Genomic selection (GS) changed the way plant breeders select genotypes. GS takes advantage of phenotypic and genotypic information to training a statistical machine learning model, which is used to predict phenotypic (or breeding) values of new lines for which only genotypic information is available. Therefore, many statistical machine learning methods have been proposed for this task. Multi-trait (MT) genomic...

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Identifiers

PMID: 36011405
DOI: 10.3390/genes13081494
PMCID: PMC9407886

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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