Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption.

Newby, Danielle, Freitas, Alex A., Ghafourian, Taravat (2015) Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption. European Journal of Medicinal Chemistry, 90 . pp. 751-765. ISSN 0223-5234. (KAR id:47124)

Item Type:	Article
Uncontrolled keywords:	data mining, machine learning, classification, pharmaceutical sciences, pharmacokinetics
Subjects:	Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QD Chemistry
Divisions:	Faculties > Sciences > School of Computing > Computational Intelligence Group Faculties > Sciences > Medway School of Pharmacy
Depositing User:	Alex Freitas
Date Deposited:	12 Feb 2015 18:59 UTC
Last Modified:	04 Feb 2020 04:06 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/47124 (The current URI for this page, for reference purposes)
Freitas, Alex A.:	https://orcid.org/0000-0001-9825-4700