“…Normalized Ct values for 3-mRNA or 3-miRNA signatures of the samples with the known urodynamic status ( Figure 5, E and F) were employed in machine-based learning algorithms described in the Methods to train the model. Using the Ct values for either mRNA or miRNA signatures of the blinded samples as an input, the model allocated them to 3 groups corresponding to the predicted bladder functional state: BOO7, 24, 31, 32, 37, 38, 39, 40, 6, 5, 21, 22 and 23 belonged to the DO group; BOO16, 14, 15, 9, 8, 33, and 34 belonged to the BO group, and the remaining samples (BOO28, 29,30,41,42,10,11,12,13,17,18,19,20,4,3,2,1,25,26,27) were from the UA group. On the heatmaps, the samples were colored according to the machine-based group allocation (DO in blue, BO in green, and UA in orange) ( Figure 6, A and B).…”