Figure 5. (A) Boxplots representing the distribution of abundance for the 10 proteins selected by the elastic net function as the most parsimonious set of classifiers for a logistic regression analysis predicting CAD status. Each individual measurement is shown as a filled circle overlaid on the box plot for that group. (B) Boxplots showing the distribution of the model-derived probability of CAD plotted for the true control and true CAD groups. (C) Bar graphs demonstrating the individual protein intensity values for each of the model selected proteins as measured for each of 10 different patients, five with the highest model predicted probability of CAD and five with the lowest model predicted probability of CAD. (D) Receiver operating characteristic (ROC) curve plotting the sensitivity and specificity of the CAD-prediction model.