Figure 2

Performance of prediction (AUC). Each row corresponds to a given training dataset, each column to a test dataset and each dot to one model. Models are ordered according to Eval1-EV1dist, rank 1 corresponds to the model with the largest value. Eval1 is the normalized largest eigenvalue of the covariance matrix taken from the methylation matrix of the test data. EV1dist is the Euclidean distance between the leading Eigenvectors of the model’s covariance matrix in the training data and in the test data. The red line shows the AUC resulting from cumulative risk scores (see Methods). The values of the red lines at model rank 5 are given in Table 6.