Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning

Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation time and resources. In genomics, FS allows identifying relevant markers and designing low-density SNP...

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Detalles Bibliográficos
Autores principales: Piles, Miriam, Bergsma, Rob, Gianola, Daniel, Gilbert, Hélène, Tusell, Llibertat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938892/
https://www.ncbi.nlm.nih.gov/pubmed/33692825
http://dx.doi.org/10.3389/fgene.2021.611506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938892/
https://www.ncbi.nlm.nih.gov/pubmed/33692825
http://dx.doi.org/10.3389/fgene.2021.611506

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