Development of an <i>in silico</i> consensus model for predicting the chemical reactivity to cysteine measured by the DPRA and its application to predict the skin sensitization potential of chemicals
Author:
Affiliation:
1. Chemicals Assessment and Research Center, Chemicals Evaluation and Research Institute, Japan
Publisher
Japanese Society of Toxicology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/fts/10/7/10_287/_pdf
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3. Berthold, M., Cebron, N., Dill, F., Gabriel, T., K”̈otter, T., Meinl, T., Ohl, P., Sieb, C., Thiel, K., and Wiswedel, B. (2008): KNIME: The Konstanz Information Miner. In Data Analysis, Machine Learning and Applications (Preisach, C., Burkhardt, H., Schmidt-Thieme, L., and Decker, R., eds.), pp. 319-326, Springer Berlin Heidelberg.
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5. Cooper, J.A. 2nd, Saracci, R. and Cole, P. (1979): Describing the validity of carcinogen screening tests. Br. J. Cancer, 39, 87-89.
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