An improved model of predicting hepatocarcinogenic potential in rats by using gene expression data
Author:
Affiliation:
1. Sumitomo Chemical Co., Ltd.; 3-1-98 Kasugadenaka, Konohana-ku Osaka 554-8558 Japan
Publisher
Wiley
Subject
Toxicology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/jat.3184/fullpdf
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4. Insulin-like growth factor 1 differentially regulates estrogen receptor-dependent transcription at estrogen response element and AP-1 sites in breast cancer cells;Cascio;J. Biol. Chem.,2007
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1. A novel support vector machine-based 1-day, single-dose prediction model of genotoxic hepatocarcinogenicity in rats;Archives of Toxicology;2024-05-18
2. A Novel Support Vector Machine-Based One-Day, Single-Dose Prediction Model of Genotoxic Hepatocarcinogenicity in Rats;2024-02-20
3. Development of <i>in silico</i> prediction models for drug-induced liver malignant tumors based on the activity of molecular initiating events: Biologically interpretable features;The Journal of Toxicological Sciences;2022
4. Identification of consensus biomarkers for predicting non-genotoxic hepatocarcinogens;Scientific Reports;2017-01-24
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