Computation time and prediction accuracy. Bars to the left of the solid vertical lines show fold increase in error relative to the mean error (as measured by 1 - area under the receiver operating characteristic curve [1 - AUC]) for the evaluation classes defined in Figure 6 of GeneMANIA with 15 yeast networks using the branch-specific weight priors in Figure 6. Bars to the right of the solid vertical lines show mean CPU time required to run each algorithm. The performance of GeneMANIA (GM), TSS, and bioPIXIE (biPx) are directly compared on the same input. The bars marked as GM-biPx and PGS-biPx depict the prediction performance of GeneMANIA label propagation and bioPIXIE probabilistic graph based search algorithm, respectively, using the bioPIXIE network as input. TSS and GeneMANIA are compared using the five yeast network benchmark.