Figure 2From: ModuleMiner - improved computational detection of cis-regulatory modules: are there different modes of gene regulation in embryonic development and adult tissues?Sensitivity of ModuleMiner's performance to the quality of the input genes. The ratio of true positive genes (containing the smooth muscle cis-regulatory module [CRM]) to negative genes (approximated by random genes) was varied. Each time, a leave-one-out cross-validation was performed, a receiver operating characteristic (ROC) curve was constructed, and the area under the ROC curve (AUC) was calculated. These AUCs were plotted as a function of the ratio negative genes/positive genes. Because an AUC of 50% signifies random ordering of the left-out genes (and hence indicates that no CRMs can be detected), this value was taken as the origin on the y-axis. Blue: the number of positive genes was kept constant at ten, and the number of negative genes was varied. Red: the total number of genes was kept constant at ten, and the ratio negative genes/positive genes was varied.Back to article page