Hepatotoxicity Modeling Using Counter-Propagation Artificial Neural Networks: Handling an Imbalanced Classification Problem

Hepatotoxicity Modeling Using Counter-Propagation Artificial Neural Networks: Handling an Imbalanced Classification Problem

Drug-induced liver injury is a major concern in the drug development process. Expensive and time-consuming <i>in vitro</i> and <i>in vivo</i> studies do not reflect the complexity of the phenomenon. Complementary to wet lab methods are <i>in silico</i> approaches,...

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Bibliographic Details
Main Authors:	Benjamin Bajželj, Viktor Drgan
Format:	Article
Language:	English
Published:	MDPI AG 2020-01-01
Series:	Molecules
Subjects:	hepatotoxicity counter-propagation artificial neural networks imbalanced dataset genetic algorithm qsar
Online Access:	https://www.mdpi.com/1420-3049/25/3/481

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