As previously mentioned, we decided to select, among the best classifiers, the model with the clearest interpretation. In the case of logistic regression, we evaluated the reliability of the regression coefficients by comparing their values and signs with what was expected in the light of the available knowledge. The predictions of all the participants to this DREAM5 challenge have been evaluated and compared. Teams were ranked according to their performance score based on two metrics: the area under the precision versus recall (PR) curve and the area under the receiver operating characteristic (ROC) curve. P-value was defined as the probability that a given or larger area under the curve value is obtained by a random prediction. The overall final score was defined as minus the logarithm of the geometric mean of the ROC and PR p-values.