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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 5. — A, Biomarker response data are graphed for 6-thioguanine-exposed TK6 cells versus concentration. The bottom middle panel shows clastogen probabilities as a function of 6-thioguanine 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 ZM-447439-exposed TK6 cells versus concentration. The bottom middle panel shows clastogen probabilities as a function of ZM-447439 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 tribromoacetaldehyde-exposed TK6 cells versus concentration. The bottom middle panel shows clastogen probabilities as a function of tribromoacetaldehyde concentration based on 3 machine learning algorithms: LR, ANN, and RF. The bottom right panel shows analogous aneugen probability scores.