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Zhu, H., I. Rusyn, A. M. RICHARD, AND A. Tropsha. Use of Cell Viability Assay Data Improves the Prediction Accuracy of Conventional Quantitative Structure-Activity Relationship Models of Animal Carcinogenicity. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, 116(4):506-513, (2008).
Yang, C., C. H. Hasselgren, S. Boyer, K. Arvidson, S. Aveston, P. Diekes, R. Benigni, R. D. Benz, J. Contrera, N. L. Kruhlak, E. J. Matthews, X. Han, J. Jaworska, R. A. Kemper, J. F. Rathman, AND A. M. RICHARD. Understanding Genetic Toxicity Through Data Mining: The Process of Building Knowledge by Integrating Multiple Genetic Toxicity Databases . Toxicology Mechanisms and Methods. Taylor & Francis, Inc., Philadelphia, PA, 18(2 & 3):277-295, (2008).
RICHARD, A. M., C. Yang, AND R. JUDSON. Toxicity Data Informatics: Supporting a New Paradigm for Toxicity Prediction. Toxicology Mechanisms and Methods. Taylor & Francis, Inc., Philadelphia, PA, 18(2 & 3):103-118, (2008).
BENIGNI, R., C. BOSSA, T. NETZEVA, E. BENFENATI, R. FRANKE, C. HELMA, E. HULZEBOS, C. MARCHANT, A. M. RICHARD, Y. WOO, AND C. YANG. THE EXPANDING ROLE OF PREDICTIVE TOXICOLOGY: AN UPDATE ON THE (Q)SAR MODELS FOR MUTAGENS AND CARCINOGENS. Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis Reviews. Marcel Dekker Incorporated, New York, NY, 25(1):53-97, (2007).