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@@ -6,18 +6,18 @@ tags:
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  - toxicology
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  pretty_name: AttentiveSkin
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  dataset_summary: >-
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- They compiled GHS dataset comprising 731 Corrostion, 1283 Irritation, and 1205 Negative samples
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  from 6 governmental databases and 2 external datasets.
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  citation: >-
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  @article{,
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- author = {Zejun Huang, Shang Lou, Haoqiang Wang, Weihua Li, Guixia Liu, and Yun Tang},
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  doi = {10.1021/acs.chemrestox.3c00332},
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  journal = {Journal of Chemical Information and Modeling},
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  number = {2},
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  title = {AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods},
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  volume = {37},
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  year = {2024},
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- url = {https://pubs.acs.org/doi/10.1021/acs.chemrestox.3c00332?ref=pdf},
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  publisher = {ACS publications}
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  }
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  size_categories:
 
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  - toxicology
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  pretty_name: AttentiveSkin
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  dataset_summary: >-
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+ Compiled GHS dataset comprising 731 Corrostion, 1283 Irritation, and 1205 Negative samples
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  from 6 governmental databases and 2 external datasets.
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  citation: >-
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  @article{,
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+ author = {Zejun Huang and Shang Lou and Haoqiang Wang and Weihua Li and Guixia Liu, and Yun Tang},
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  doi = {10.1021/acs.chemrestox.3c00332},
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  journal = {Journal of Chemical Information and Modeling},
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  number = {2},
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  title = {AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods},
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  volume = {37},
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  year = {2024},
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+ url = {https://pubs.acs.org/doi/10.1021/acs.chemrestox.3c00332},
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  publisher = {ACS publications}
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  }
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  size_categories: