Figure 4.
Figure 4a. Multinomial logistic regression probabilities for aneugen classification are graphed for each of 84 chemicals studied at Litron. Chemicals are coded according to genotoxic MoA: clastogens = red circles, aneugens = blue squares, and non-genotoxicants = green triangles. A series of probabilities are plotted for each chemical, with each point representing a different concentration. These data show that each of the aneugens were correctly classified by the 4-factor aneugen detection model (two successive concentrations with probabilities in excess of 0.8, or one concentration in excess of 0.9). None of the clastogens or non-genotoxicants were misclassified as aneugens.
Figure 4b. Multinomial logistic regression probabilities for clastogen classification are graphed for each of 84 chemicals studied at Litron. Chemicals are coded according to genotoxic MoA: clastogens = red circles, aneugens = blue squares, and non-genotoxicants = green triangles. A series of probabilities are plotted for each chemical, with each point representing a different concentration. These data show that 32 of 33 clastogens were correctly classified by the clastogen-detection model. None of the aneugens were misclassified as clastogens, and only 1 of 38 non-genotoxicants was misclassified as clastogenic (imatinib mesylate).

