Sabatino, M.; Fabiani, M.; Božović, M.; Garzoli, S.; Antonini, L.; Marcocci, M.E.; Palamara, A.T.; De Chiara, G.; Ragno, R.
Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils. Molecules 2020, 25, 2452.
https://doi.org/10.3390/molecules25102452
AMA Style
Sabatino M, Fabiani M, Božović M, Garzoli S, Antonini L, Marcocci ME, Palamara AT, De Chiara G, Ragno R.
Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils. Molecules. 2020; 25(10):2452.
https://doi.org/10.3390/molecules25102452
Chicago/Turabian Style
Sabatino, Manuela, Marco Fabiani, Mijat Božović, Stefania Garzoli, Lorenzo Antonini, Maria Elena Marcocci, Anna Teresa Palamara, Giovanna De Chiara, and Rino Ragno.
2020. "Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils" Molecules 25, no. 10: 2452.
https://doi.org/10.3390/molecules25102452
APA Style
Sabatino, M., Fabiani, M., Božović, M., Garzoli, S., Antonini, L., Marcocci, M. E., Palamara, A. T., De Chiara, G., & Ragno, R.
(2020). Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils. Molecules, 25(10), 2452.
https://doi.org/10.3390/molecules25102452