Genomic prediction using machine learning: A comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data
Vanda Lourenço, Joseph Ochieng Ogutu, Rui A.P. Rodrigues, Alexandra Posekany, Hans‐Peter Piepho
This paper compares machine learning methods for genomic prediction using synthetic and empirical data, finding that no single method outperforms others consistently and that classical methods remain competitive.
BMC Genomics · Feb 7, 2024Peer-reviewedGenomics