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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 by Vanda M. Lourenço; Joseph O. Ogutu; Rui A.P. Rodrigues; Alexandra Posekany; Hans-Peter Piepho is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is 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 about?
## Background The accurate prediction of genomic breeding values is central to genomic selection in both plant and animal breeding studies. Genomic prediction involves the use of thousands of molecular markers spanning the entire genome and therefore requires methods able to efficiently handle high dimensional data. Not surprisingly, machine learning methods are becoming widely advocated for and used in genomic prediction studies. These methods encompass different groups of supervised and unsupervised learning methods. Although several studies have compared the predictive performances of individual methods, studies comparing the predictive performance of different groups of methods are rare. However, such studies are crucial for identifying (i) groups of methods with superior genomic predictive performance and assessing (ii) the merits and demerits of such groups of methods relative to each other and to the established classical methods. Here, we comparatively evaluate the genomic predictive performance and informally assess the computational cost of several groups of supervised machine learning methods, specifically, __regularized regression__ methods, __deep__, __ensemble__ and _
Who reads 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?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Vanda M. Lourenço; Joseph O. Ogutu; Rui A.P. Rodrigues; Alexandra Posekany; Hans-Peter Piepho
- Publisher
- BioMed Central
- Published
- 2024
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)