Prediction of Chemical-induced Autonomic Neurotoxicity with Machine Learning Approaches
- DOI
- 10.2174/0113862073491170260616113137
- Published
- 2026-07-13
- Container
- Combinatorial Chemistry & High Throughput Screening
- Publisher
- Bentham Science Publishers Ltd.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2174/0113862073491170260616113137,
title = {Prediction of Chemical-induced Autonomic Neurotoxicity with Machine Learning Approaches},
author = {Zheng-Kun Kuang and Qing Huang and Xiaoling Duan},
year = {2026},
journal = {Combinatorial Chemistry \& High Throughput Screening},
doi = {10.2174/0113862073491170260616113137},
url = {https://doi.org/10.2174/0113862073491170260616113137}
}RIS
TY - JOUR TI - Prediction of Chemical-induced Autonomic Neurotoxicity with Machine Learning Approaches AU - Zheng-Kun Kuang AU - Qing Huang AU - Xiaoling Duan PY - 2026 JO - Combinatorial Chemistry & High Throughput Screening DO - 10.2174/0113862073491170260616113137 UR - https://doi.org/10.2174/0113862073491170260616113137 ER -
APA
Kuang, Z., Huang, Q., & Duan, X. (2026). Prediction of Chemical-induced Autonomic Neurotoxicity with Machine Learning Approaches. Combinatorial Chemistry & High Throughput Screening. https://doi.org/10.2174/0113862073491170260616113137
Source records
- crossref · retrieved 2026-09-27T11:05:40.632Z