Comparing the BiComp-DTA against the alternative methods, i.e. GraphDTA, FusionDTA, and FC, in terms of the number of trainable parameters, and the corresponding accuracy values for Davis and Kiba datasets (CI).
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https://figshare.com/articles/dataset/Comparing_the_BiComp-DTA_against_the_alternative_methods_i_e_GraphDTA_FusionDTA_and_FC_in_terms_of_the_number_of_trainable_parameters_and_the_corresponding_accuracy_values_for_Davis_and_Kiba_datasets_CI_/22454156
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资源简介：
Comparing the BiComp-DTA against the alternative methods, i.e. GraphDTA, FusionDTA, and FC, in terms of the number of trainable parameters, and the corresponding accuracy values for Davis and Kiba datasets (CI).
创建时间：
2023-03-31
