Figure 2From: A Bayesian approach to efficient differential allocation for resampling-based significance testingSample figure title. Area under ROC curve (AUC), Error (defined as (FN+FP)/(P+N)), and false discovery rate (FDR) of the uniform (B/B0 = 1) and differential allocation algorithms using the Hedenfalk et al. gene expression dataset. Left: p-value cutoff = 0.001; right: p-value cutoff = 0.005.Back to article page