Cargando…
A review of machine learning models applied to genomic prediction in animal breeding
The advent of modern genotyping technologies has revolutionized genomic selection in animal breeding. Large marker datasets have shown several drawbacks for traditional genomic prediction methods in terms of flexibility, accuracy, and computational power. Recently, the application of machine learnin...
Autores principales: | Chafai, Narjice, Hayah, Ichrak, Houaga, Isidore, Badaoui, Bouabid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516561/ https://www.ncbi.nlm.nih.gov/pubmed/37745853 http://dx.doi.org/10.3389/fgene.2023.1150596 |
Ejemplares similares
-
Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
por: Hayah, Ichrak, et al.
Publicado: (2023) -
Evaluating the use of statistical and machine learning methods for estimating breed composition of purebred and crossbred animals in thirteen cattle breeds using genomic information
por: Ryan, C. A., et al.
Publicado: (2023) -
Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
por: Li, Bo, et al.
Publicado: (2018) -
Editorial: Machine Learning for Big Data Analysis: Applications in Plant Breeding and Genomics
por: Esposito, Salvatore, et al.
Publicado: (2022) -
A Causality Perspective of Genomic Breed Composition for Composite Animals
por: Wu, Xiao-Lin, et al.
Publicado: (2020)