Figure 15From: Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL DatasetsM Parameter Optimization. The performance of the SCT method alone (y1 axis) and the performance of the SCT-augmented Bayesian networks (y2 axis) versus the M-parameter (x axis). In both cases, AUC refers to the area under the precision-recall curves. M = {40, 100} represents a broad range over which our method offers notable performance improvements.Back to article page