Halabi, A., Rincón, E., & Chamorro, E. (2022). Machine learning predictive classification models for the carcinogenic activity of activated metabolites derived from aromatic amines and nitroaromatics. Toxicology in vitro, 81, 105347. https://doi.org/10.1016/j.tiv.2022.105347
Chicago Style (17th ed.) CitationHalabi, Andrés, Elizabeth Rincón, and Eduardo Chamorro. "Machine Learning Predictive Classification Models for the Carcinogenic Activity of Activated Metabolites Derived from Aromatic Amines and Nitroaromatics." Toxicology in Vitro 81 (2022): 105347. https://doi.org/10.1016/j.tiv.2022.105347.
MLA (9th ed.) CitationHalabi, Andrés, et al. "Machine Learning Predictive Classification Models for the Carcinogenic Activity of Activated Metabolites Derived from Aromatic Amines and Nitroaromatics." Toxicology in Vitro, vol. 81, 2022, p. 105347, https://doi.org/10.1016/j.tiv.2022.105347.