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Table 5 Values of the metrics achieved by GRNCOP2 and Li et al

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

  

GRNCOP2

Li et al.

RANDOM

 

precision

100.00%

100.00%

51.58%

Yeastnet

sensitivity

10.20%

5.10%

-

 

specificity

100.00%

100.00%

-

 

score

3.03

2.89

1.5303384

 

Precision

100.00%

100.00%

43.68%

Co-citation

sensitivity

12.05%

6.02%

-

 

specificity

100.00%

100.00%

-

 

score

3.37

2.99

1.3487118

 

precision

90.00%

80.00%

45.26%

GO

sensitivity

10.47%

4.65%

-

 

specificity

99.04%

99.04%

-

number of associations

10.00

5.00

-

  1. Values achieved by GRNCOP2 and Li et al. for the proposed metrics, for rules with time-delays from 1 to 5 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.