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基于QSAR-SSD模型的典型新污染物全氟/多氟类化合物 和有机磷酸酯毒性和生态风险评估 学位论文
理学硕士, 中国科学院烟台海岸带研究所: 中国科学院烟台海岸带研究所, 2023
Authors:  滕跃发
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定量-构效关系  物种敏感度分布  新污染物  生态风险评估  
Characterization of oxidative damage induced by nanoparticles via mechanism-driven machine learning approaches 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 871, 页码: 11
Authors:  Wang, Xiaoqing;  Li, Fei;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng
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Toxic effects  Machine learning  Risk assessment  Mechanism -driven analysis  TiO2-based engineered nanoparticles(nTiO2)  
基于极限梯度提升算法和特征筛选方法的羊角月牙藻(Selenastrum capricornutum)急性毒性定量构效关系(QSAR)模型的建立与应用 期刊论文
生态毒理学报, 2023, 卷号: 18, 期号: 3, 页码: 33-46
Authors:  滕跃发;  王晓晴;  李斐;  吉成龙;  吴惠丰
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多环芳烃  羊角月牙藻  定量构效关系  机器学习  极限梯度提升  特征筛选  
Potential adverse outcome pathways with hazard identification of organophosphate esters 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 851, 页码: 13
Authors:  Wang, Xiaoqing;  Li, Fei;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng
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Organophosphate esters (OPEs)  Network-centric analysis  Risk assessment  Adverse outcome pathway  Quantitative weight of evidence  
Critical features identification for chemical chronic toxicity based on mechanistic forecast models 期刊论文
ENVIRONMENTAL POLLUTION, 2022, 卷号: 307, 页码: 8
Authors:  Wang, Xiaoqing;  Li, Fei;  Chen, Jingwen;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng
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Computational toxicology  Machine learning  Structural alerts  Risk assessment  Prioritization rank  
Critical target identification and human health risk ranking of metal ions based on mechanism-driven modeling 期刊论文
CHEMOSPHERE, 2022, 卷号: 301, 页码: 9
Authors:  Wang, Xiaoqing;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng;  Li, Fei
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Metal ions  p53  QSAR  Genetic toxicity  Human health risk  
Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches 期刊论文
CHEMOSPHERE, 2022, 卷号: 287, 页码: 9
Authors:  Wang, Xiaoqing;  Wang, Li;  Li, Fei;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng
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Toxicity pathways  Lipid metabolism disorder  Bibliometric analysis  Computational toxicology  Data-driven analysis  
大数据挖掘和机器学习在毒理学中的应用 期刊论文
生态毒理学报, 2022, 卷号: 17, 期号: 1, 页码: 93-101
Authors:  滕跃发;  王晓晴;  李斐;  吴惠丰;  吉成龙;  于进福
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数据挖掘  机器学习  结构-活性关系  AOP  计算毒理学