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Figure 1 | BMC Bioinformatics

Figure 1

From: From hybridization theory to microarray data analysis: performance evaluation

Figure 1

Performance evaluation on Latin Square Data HG-U133A: Sensitivity VS False Discovery Rate. The sensitivity (= TP/(TP+FN)) is compared to the false discovery rate (= 1-Precision = FP/(TP+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 FDR region (up to 20%). Each curve is computed from the analysis of 91 available pairwise comparisons between 3 replicates of latin square samples.

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