Additional file 3 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
收藏DataCite Commons2024-08-18 更新2024-08-26 收录
下载链接：
https://springernature.figshare.com/articles/dataset/Additional_file_3_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/26678180/1
下载链接
链接失效反馈官方服务：
资源简介：
Additional file 3. Python codes used to fit the deep learning (FFNN & CNN) algorithms to the simulated (animal breeding) dataset. Includes six py and three pnz files: three of the py files refer to the FFNN fits and the other three to the CNN fits; each of the three pnz files include six npy files referring to the training of the FFNNs for traits 1, 2 & 3, respectively.
提供机构：
figshare
创建时间：
2024-08-14
