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Research Article

Predicting the toxicities of metal oxide nanoparticles based on support vector regression with a residual bootstrapping method

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Pages 440-449 | Received 05 Jan 2018, Accepted 04 Mar 2018, Published online: 12 Apr 2018

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Andrey A. Toropov & Alla P. Toropova. (2019) Use of the index of ideality of correlation to improve predictive potential for biochemical endpoints. Toxicology Mechanisms and Methods 29:1, pages 43-52.
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Xiliang Yan, Tongtao Yue, David A. Winkler, Yongguang Yin, Hao Zhu, Guibin Jiang & Bing Yan. (2023) Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation. Chemical Reviews 123:13, pages 8575-8637.
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Andrey A. Toropov & Alla P. Toropova. (2020) Correlation intensity index: Building up models for mutagenicity of silver nanoparticles. Science of The Total Environment 737, pages 139720.
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Valérie Forest, Jean-François Hochepied & Jérémie Pourchez. (2019) Importance of Choosing Relevant Biological End Points To Predict Nanoparticle Toxicity with Computational Approaches for Human Health Risk Assessment. Chemical Research in Toxicology 32:7, pages 1320-1326.
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