Genomic prediction through machine learning and neural networks for traits with epistasis

Genomic wide selection (GWS) is one contributions of molecular genetics to breeding. Machine learning (ML) and artificial neural networks (ANN) methods are non-parameterized and can develop more accurate and parsimonious models for GWS analysis. Multivariate Adaptive Regression Splines (MARS) is con...

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Detalles Bibliográficos
Autores principales: Costa, Weverton Gomes da, Celeri, Maurício de Oliveira, Barbosa, Ivan de Paiva, Silva, Gabi Nunes, Azevedo, Camila Ferreira, Borem, Aluizio, Nascimento, Moysés, Cruz, Cosme Damião
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547190/
https://www.ncbi.nlm.nih.gov/pubmed/36249559
http://dx.doi.org/10.1016/j.csbj.2022.09.029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547190/
https://www.ncbi.nlm.nih.gov/pubmed/36249559
http://dx.doi.org/10.1016/j.csbj.2022.09.029

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