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Random forest algorithm-based accurate prediction of chemical toxicity to Tetrahymena pyriformis.
Fang, Zhengjun; Yu, Xinliang; Zeng, Qun.
Affiliation
  • Fang Z; Hunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration, College of Materials and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411104, China.
  • Yu X; Hunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration, College of Materials and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411104, China. Electronic address: yxl@hnie.edu.cn.
  • Zeng Q; Department of Neurosurgery, Xiangtan Central Hospital, Xiangtan, Hunan 411100, China.
Toxicology ; 480: 153325, 2022 10.
Article in En | MEDLINE | ID: mdl-36115645
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tetrahymena pyriformis Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Language: En Journal: Toxicology Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tetrahymena pyriformis Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Language: En Journal: Toxicology Year: 2022 Document type: Article Affiliation country: Country of publication: