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. 2017 Nov 2;162(1):146–166. doi: 10.1093/toxsci/kfx235

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Published by Oxford University Press on behalf of the Society of Toxicology 2017. This work is written by US Government employees and is in the public domain in the US.

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Figure 2. — A, Biomarker response data are graphed for anisomycin-exposed TK6 cells versus concentration. The bottom middle panel shows clastogen probabilities as a function of anisomycin concentration based on 3 machine learning algorithms: LR, ANN, and RF. The bottom right panel shows analogous aneugen probability scores. B, Biomarker response data are graphed for adriamycin HCl-exposed TK6 cells versus concentration. The bottom middle panel shows clastogen probabilities as a function of adriamycin concentration based on 3 machine learning algorithms: LR, ANN, and RF. The bottom right panel shows analogous aneugen probability scores. C, Biomarker response data are graphed for 2,2’, 5,5’-tetrachlorobenzidine-exposed TK6 cells versus concentration. The bottom middle panel shows clastogen probabilities as a function of 2,2’, 5,5’-tetrachlorobenzidine concentration based on 3 machine learning algorithms: LR, ANN, and RF. The bottom right panel shows analogous aneugen probability scores.