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Table 4 Area under the ROC curve of parsimony models over seven benchmark data using four information theoretic filters

From: iRDA: a new filter towards predictive, stable, and enriched candidate genes

 

mRMR

CMIM

FCBF

iRDA

 

%

#

%

#

%

#

%

#

Brain

97.4

5

98.86

4

94.72

5

99.68

3

CNS

87.18

4

89.68

4

91.15

5

94.08

5

Colon

92.5

4

96.25

5

89.72

3

98.86

4

Leukemia

100

4

100

4

99.96

3

100

3

Lung

99.94

4

99.66

5

97.08

4

100

4

Lymphoma

99

5

98.77

4

50.36

5

97.37

3

Prostate

97.62

7

96.83

6

97.67

7

96.77

7

avg

96.23

4.71

97.15

4.57

88.67

4.57

98.11

4.14

  1. %: AUC performance rate; #: number of explored genes