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In silico prediction of pesticide aquatic toxicity with chemical category approaches
Author(s) -
Fuxing Li,
Fan De-fang,
Hao Wang,
Hongbin Yang,
Weihua Li,
Yun Tang,
Guixia Liu
Publication year - 2017
Publication title -
toxicology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 31
eISSN - 2045-4538
pISSN - 2045-452X
DOI - 10.1039/c7tx00144d
Subject(s) - support vector machine , pesticide , naive bayes classifier , artificial intelligence , machine learning , biological system , pattern recognition (psychology) , computer science , environmental science , biology , ecology
Herein, six machine learning methods combined with nine fingerprints were used to predict aquatic toxicity of pesticides.

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