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

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...

Full description

Bibliographic Details
Main Authors: Weverton Gomes da Costa, Maurício de Oliveira Celeri, Ivan de Paiva Barbosa, Gabi Nunes Silva, Camila Ferreira Azevedo, Aluizio Borem, Moysés Nascimento, Cosme Damião Cruz
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Genome wide selection
Quantitative trait locus
Non-additive effects
Multivariate adaptive regression splines
Genome-enabled prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022004342

Internet

http://www.sciencedirect.com/science/article/pii/S2001037022004342

Similar Items