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Table 3 Simulation results for 4 cases

From: Robust gene selection methods using weighting schemes for microarray data analysis

  Scenario 1, n 1 = 5, n 2 = 10 Scenario 1, n 1 = 10, n 2 = 10
  RS AUC TRF RS AUC TRF
Rank cutoff    100 200    100 200
SAM 115,542 0.95 88.93 132.67 83,544 0.97 94.28 147.74
SAM-w 169,865 0.92 64.43 96.84 125,513 0.95 79.37 118.18
SAM-tbor 128,588 0.94 87.21 128.67 88,765 0.96 93.72 146.42
MSAM1 104,236 0.96 92.02 140.70 77,317 0.97 95.84 153.08
MSAM2 101,705 0.96 92.81 142.47 77,109 0.97 96.05 153.58
  Scenario 2, n 1 = 5, n 2 = 10 Scenario 2, n 1 = 10, n 2 = 10
  RS AUC TRF RS AUC TRF
Rank cutoff    100 200    100 200
SAM 172,669 0.92 77.88 110.38 128,966 0.94 87.97 129.06
SAM-w 205,161 0.91 58.14 85.55 158,618 0.93 74.44 108.06
SAM-tbor 162,252 0.93 80.54 113.94 110,655 0.95 92.05 137.97
MSAM1 136,442 0.94 87.69 128.76 104,286 0.96 94.23 144.82
MSAM2 120,594 0.95 92.45 139.89 100,887 0.96 95.15 147.48
  1. Note: the best performance in each case is shown in bold type