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Table 2 A summary table of three simulation scenarios

From: Super-delta: a new differential gene expression analysis procedure with robust data normalization

  Classical   Super-delta
  Oracle Global medIQR Quantile Cyclic-loess Mean Median MFTM
SIM1         
Power 88.82(1.02) 88.17(1.08) 87.84(0.99) 87.71(1.00) 87.61(1.01) 88.48(1.04) 88.89(1.13) 88.85(1.00)
Type I error 0.46(0.07) 0.49(0.08) 0.50(0.07) 0.51(0.08) 0.52(0.07) 0.44(0.08) 0.41(0.08) 0.40(0.07)
SIM2         
Power 92.11(0.81) 90.94(0.89) 90.37(0.95) 90.17(0.93) 89.94(0.95) 91.26(1.01) 91.79(0.94) 92.09(0.77)
Type I error 0.93(0.14) 1.08(0.17) 1.25(0.22) 1.26(0.19) 1.36(0.23) 1.03(0.22) 0.85(0.15) 0.83(0.15)
SIM3         
Power 89.18(1.49) 76.67(1.51) 77.28(1.84) 76.20(1.63) 76.51(1.59) 77.16(1.89) 86.05(1.70) 88.55(1.62)
Type I error 0.61(0.11) 1.53(0.19) 1.42(0.20) 1.55(0.20) 1.52(0.20) 1.46(0.26) 0.61(0.14) 0.54(0.12)
  1. Sample size is 50 for both groups. All p-values are Benjamini-Hochberg adjusted; Power: Approximate statistical power; Type I error: Approximate Type I error rate. All these measurements are calculated by averaging over 50 replicates. Numbers within parentheses are standard deviations. All numbers are pertentage rates