Additional file 2 of 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
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_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/25183400/1
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Additional file 2. R codes used to fit the ML algorithms to the simulated (animal breeding) dataset. Includes six R files: one for the simple regularized methods, one for the adaptive regularized methods, one for the group regularized methods, one for the Bayesian regularized methods, one for the ensemble methods, and one for the instance-based methods.
提供机构：
figshare
创建时间：
2024-08-14
