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- W17054937 abstract "The assessment of non-genotoxic hepatocarcinogenicity of chemicals is currently based on 2-year rodent bioassays. It is desirable to develop a fast and effective method to accelerate the identification of potential hepatocarcinogenicity of non-genotoxic chemicals. In this study, a novel method CPI is proposed to predict potential hepatocarcinogenicity of non-genotoxic chemicals. The CPI method is based on chemical-protein interactions and interpretable decision tree classifiers.The interpretable rules generated by the CPI method are analyzed to provide insights into the mechanism and biomarkers of non-genotoxic hepatocarcinogenicity. The CPI method with an independent test accuracy of 86% using only 1 protein biomarker outperforms the state-of-the-art methods of gene expression profile-based toxicogenomics using 90 gene biomarkers. A protein ABCC3 was identified as a potential protein biomarker for further exploration. This study presents the potential application of CPI method for assessing non-genotoxic hepatocarcinogenicity of chemicals." @default.
- W17054937 created "2016-06-24" @default.
- W17054937 creator A5021035384 @default.
- W17054937 date "2013-01-01" @default.
- W17054937 modified "2023-09-24" @default.
- W17054937 title "Prediction of Non-genotoxic Hepatocarcinogenicity Using Chemical-Protein Interactions" @default.
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- W17054937 doi "https://doi.org/10.1007/978-3-642-39159-0_21" @default.
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