Figure 2.

Performance evaluation on Latin Square Data HG-U133A: ROC curves. The sensitivity (= TP/(TP+FN)) is compared to 1-specificity (= FP/(TN+FP)), using affyILM(medianpolish) and other popular preprocessing methods. A, B, and C respectively report the performance evaluation when the differential expression analysis is conducted with the student t-test, the window t-test, and the regularized t-test. D, E and F are zooms of A, B and C, in the lowest 1-Specificity region (up to 20%). Each curve is computed from the analysis of 91 available pairwise comparisons between 3 replicates of latin square samples.