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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.