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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