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Table 5 Prediction of regulations between the set of genes G A and G B

From: Learning a Markov Logic network for supervised gene regulatory network inference

Bagged MLNs

λ

AUC-ROC

AUC-PR

50

 

72.8

 

6.7

100

 

73.1

 

7.7

500

 

73.2

 

9.2

750

 

73.4

 

9.5

1000

 

73.1

 

9.5

5000

 

73.0

 

9.8

10000

 

72.8

 

9.5

Bagged pairwise SVMs

C

Pairwise sum

Sum

 

AUC-ROC

AUC-PR

AUC-ROC

AUC-PR

0.001

62.8

4.0

66.2

7.8

0.01

62.8

4.0

66.2

7.8

0.1

62.8

4.0

66.2

7.8

1

65.3

7.7

67.4

8.6

10

65.4

6.1

67.5

8.3

100

65.4

6.1

67.5

8.3

1000

65.4

6.1

67.5

8.3

  1. This table lists the AUC-ROC and AUC-PR values obtained for the prediction of regulations between G A and G B for bagged MLNs and bagged pairwise SVMs, with notations given in Tables 2 and 3. These results were obtained using asymmetric bagging with 30 samples on the set R2.