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Table 4 Values of the metrics achieved by GRNCOP2, Soinov et al. and Bulashevska and Eils

From: Discovering time-lagged rules from microarray data using gene profile classifiers

  

GRNCOP2

Soinov et al.

Bulashevska and Eils

RANDOM

Yeastnet

precision

93.33%

50.00%

88.89%

51.58%

 

sensitivity

14.29%

3.06%

8.16%

-

 

specificity

98.91%

96.74%

98.91%

-

 

score

3.04

1.84

2.77

1.5303384

Co-citation

Precision

93.33%

50.00%

88.89%

43.68%

 

sensitivity

16.87%

3.61%

9.64%

-

 

specificity

99.07%

97.20%

99.07%

-

 

score

3.26

1.85

2.84

1.3487118

GO

precision

73.33%

50.00%

55.56%

45.26%

 

sensitivity

12.79%

3.49%

5.81%

-

 

specificity

96.15%

97.12%

96.15%

-

number of associations

15.00

6.00

9.00

-

  1. Values achieved by GRNCOP2, Soinov et al. and Bulashevska and Eils for the proposed metrics, for simultaneous rules at an accuracy level of 0.75. The precision and score of the random selection is also included. The bolded scores denote the best values.