%0 Generic
%A Lenselink, Eelke Bart
%A ten Dijke, N. (Niels)
%A Bongers, Brandon
%A Papadatos, G. (George)
%A van Vlijmen, Herman W. T.
%A Kowalczyk, W. (Wotjek)
%A IJzerman, Adriaan P.
%A Van westen, Gerard JP
%D 2017
%T Beyond the Hype: Deep Neural Networks Outperform Established Methods Using A ChEMBL Bioactivity Benchmark Set [version 1]
%U https://data.4tu.nl/articles/dataset/Beyond_the_Hype_Deep_Neural_Networks_Outperform_Established_Methods_Using_A_ChEMBL_Bioactivity_Benchmark_Set_version_1_/12694478/1
%R 10.4121/uuid:547e8014-d662-4852-9840-c1ef065d03ef
%K ChEMBL
%K Cheminformatics
%K Chemogenomics
%K Deep Neural Networks
%K Proteochemometrics
%K QSAR
%K Quantitative structure-activity relationship
%X This dataset contains the (standardized) data used in the experiments, alongside the scripts used to perform Deep Neural Nets (DNN_Scripts), and the other machine learning methods in both Pipeline Pilot (PP_protocols) and Python/Scikit-Learn (PY_scripts)
%I Leiden University