Table 1.

SAM Threshold and False Discovery Rate

SAM thresholdOriginal dataPermuted dataDifferenceFDR
0.1013,1133757935628.6%
0.13 10,627 1894 8733 17.8%
0.1591911300789114.1%
0.207088718637010.1%
0.30483729445436.1%
0.40 3806 179 3627 4.7%
0.50317012930414.1%

[i] The number of features exceeding a given threshold in the original data and the average number of features exceeding the threshold in the permuted data set is shown. This is used to calculate the difference and the false discovery rate (FDR) at different thresholds according to SAM (Tusher et al. 2001).