Figure 3

Description of models used for predictions (weights and # CpGs). Each row corresponds to a given training dataset, each column to a test dataset. 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 black line shows the mean number of CpGs used in the models up to the indicated rank, normalized by the maximum number of CpGs considered (1500). The other lines correspond to the mean weights (see Methods) used in the models up to the indicated rank. Blue lines correspond to average methylation difference (t- or MWU test), red to methylation variation difference (Bartlett’s or Levene’s test) and green to methylation-age-correlation. Solid lines indicate models taking into account both hyper- and hypomethylated CpGs. Dashed lines represent models using only hypermethylated and dotted lines indicate models using only hypomethylated CpGs.