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Updated: Sep 20, 2026

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
09:01

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

A study on prediction of the bio-toxicity of substituted benzene based on artificial neural network

Da-Wen Gao1, Peng Wang, Hong Liang

  • 1School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, China. da-wengao@hotmail.com

Journal of Environmental Science and Health. Part. B, Pesticides, Food Contaminants, and Agricultural Wastes
|August 22, 2003
PubMed

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