FIG. 4.

Classification of PAHs and PAH mixture treatments based on tumor outcome. A, Bayesian integration of pathways using k-nearest neighbors statistical learning algorithm with leave-one-out cross validation improves classification accuracy of PAH treatments based on tumor outcome. The color scale for the heatmaps indicates accuracy for actual versus predicted classification of treatments into the low, moderate, and high tumor categories. Highest classification accuracy (100%) is indicated in dark shades and lowest (0%) in white. The panel on the left-hand side shows classification accuracy for each pathway individually and the panel on the right-hand side shows the classification accuracy for all four pathways integrated. B, PCA of the predictive gene set shows separation of treated animals based on tumor outcome.