Zhang, J., Mucs, D., Norinder, U., & Svensson, F. (2019). LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity–Application to the Tox21 and Mutagenicity Data Sets. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 59(10), 4150-4158. https://doi.org/10.1021/acs.jcim.9b00633
Chicago Style (17th ed.) CitationZhang, Jin, Daniel Mucs, Ulf Norinder, and Fredrik Svensson. "LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity–Application to the Tox21 and Mutagenicity Data Sets." JOURNAL OF CHEMICAL INFORMATION AND MODELING 59, no. 10 (2019): 4150-4158. https://doi.org/10.1021/acs.jcim.9b00633.
MLA (9th ed.) CitationZhang, Jin, et al. "LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity–Application to the Tox21 and Mutagenicity Data Sets." JOURNAL OF CHEMICAL INFORMATION AND MODELING, vol. 59, no. 10, 2019, pp. 4150-4158, https://doi.org/10.1021/acs.jcim.9b00633.