Cite
Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set
MLA
Eelke B. Lenselink, et al. “Beyond the Hype: Deep Neural Networks Outperform Established Methods Using a ChEMBL Bioactivity Benchmark Set.” Journal of Cheminformatics, vol. 9, no. 1, Aug. 2017, pp. 1–14. EBSCOhost, https://doi.org/10.1186/s13321-017-0232-0.
APA
Eelke B. Lenselink, Niels ten Dijke, Brandon Bongers, George Papadatos, Herman W. T. van Vlijmen, Wojtek Kowalczyk, Adriaan P. IJzerman, & Gerard J. P. van Westen. (2017). Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. Journal of Cheminformatics, 9(1), 1–14. https://doi.org/10.1186/s13321-017-0232-0
Chicago
Eelke B. Lenselink, Niels ten Dijke, Brandon Bongers, George Papadatos, Herman W. T. van Vlijmen, Wojtek Kowalczyk, Adriaan P. IJzerman, and Gerard J. P. van Westen. 2017. “Beyond the Hype: Deep Neural Networks Outperform Established Methods Using a ChEMBL Bioactivity Benchmark Set.” Journal of Cheminformatics 9 (1): 1–14. doi:10.1186/s13321-017-0232-0.