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Table 2 P-values comparing FDR by different methods.

From: Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures

  ρ True π0 BY SampG.q SampS.q SampG.m SampS.m
Data-B 0.3 0.9 3.25E-11 3.68E-01 1.56E-02 1.31E-01 1.29E-01
   0.8 7.45E-26 8.70E-04 8.40E-04 7.20E-03 4.12E-03
   0.7 2.80E-32 6.23E-07 1.34E-07 4.13E-06 2.38E-06
   0.6 9.74E-46 6.00E-09 6.10E-08 1.92E-08 4.47E-09
  0.5 0.9 1.28E-10 1.74E-03 3.68E-05 4.56E-03 6.45E-04
   0.8 4.17E-14 8.92E-06 5.09E-06 1.81E-04 2.94E-05
   0.7 3.12E-21 4.94E-08 5.46E-10 1.40E-05 2.12E-07
   0.6 2.19E-21 1.36E-07 2.81E-10 1.20E-06 1.75E-08
  0.7 0.9 4.20E-06 1.26E-02 1.11E-03 2.86E-02 6.62E-03
   0.8 1.32E-07 2.00E-04 2.62E-05 3.48E-04 1.15E-04
   0.7 5.96E-10 2.12E-03 1.49E-04 1.62E-03 4.58E-04
   0.6 4.06E-10 6.75E-04 3.24E-05 6.96E-04 1.52E-04
Data-M   0.9 4.92E-08 8.63E-05 1.97E-05 4.39E-04 4.16E-05
   0.8 1.01E-09 3.05E-05 5.13E-07 4.84E-05 7.05E-06
   0.7 2.76E-10 3.31E-05 1.83E-06 1.70E-04 2.28E-05
   0.6 1.61E-12 8.38E-07 5.29E-09 6.91E-06 6.11E-07
  1. The actual FDR in gene selections across the 100 simulations under each configuration by these methods was compared to that of q-value method using one-tail paired t-statistics.