Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils

Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils

In the last decade essential oils have attracted scientists with a constant increase rate of more than 7% as witnessed by almost 5000 articles. Among the prominent studies essential oils are investigated as antibacterial agents alone or in combination with known drugs. Minor studies involved essenti...

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Bibliographic Details
Main Authors: Manuela Sabatino, Marco Fabiani, Mijat Božović, Stefania Garzoli, Lorenzo Antonini, Maria Elena Marcocci, Anna Teresa Palamara, Giovanna De Chiara, Rino Ragno
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Molecules
Subjects:
machine learning
classification modeling
essential oil
herpes simplex virus
PLS-DA
quantitative composition-activity relationships
Online Access:https://www.mdpi.com/1420-3049/25/10/2452

Internet

https://www.mdpi.com/1420-3049/25/10/2452

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