In silico prediction of chemical aquatic toxicity for marine crustaceans via machine learning
Author:
Affiliation:
1. Shanghai Key Laboratory of New Drug Design
2. School of Pharmacy
3. East China University of Science and Technology
4. Shanghai 200237
5. China
Abstract
Six machine learning methods combined with descriptors or fingerprints were employed to predict chemical toxicity on marine crustaceans.
Funder
National Natural Science Foundation of China
Publisher
Oxford University Press (OUP)
Subject
Health, Toxicology and Mutagenesis,Toxicology
Link
http://pubs.rsc.org/en/content/articlepdf/2019/TX/C8TX00331A
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