Development of binary classification models for assessment of drug-induced liver injury in humans using a large set of FDA-approved drugs

Author:

Zhang Hui,Zhang Hong-Rui,Hu Mei-Ling,Qi Hua-Zhao

Funder

National Natural Science Foundation of China

Science and Technology Program of Gansu Province

Publisher

Elsevier BV

Subject

Pharmacology,Toxicology

Reference40 articles.

1. Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints;Ai;Toxicological Sciences,2018

2. Human drug hepatotoxicity: A contemporary clinical perspective;Assis;Expert Opinion on Drug Metabolism & Toxicology,2009

3. Exploring activity cliffs from a chemoinformatics perspective;Bajorath;Molecular Informatics,2014

4. Computational approaches for drug-induced liver injury (DILI) prediction: State of the art and challenges;Béquignon;Systems Medicine Integrative, Qualitative and Computational Approaches,2021

5. Statistical decision theory and Bayesian analysis;Berger,2013

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