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Table 2 Comparison of PBN and DBN methods using different sample networks

From: Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks

  Miss errors Me False alarm errors Fe Correct edges Ce Accuracy (%) (R, P) Time(s) T
  min max avg min max avg min max avg recall precision avg
PBN(12,18) 2 9 6.4 0 4 2.4 6 9 7.8 54.9 76.5 13.2
PBN(20,35) 12 22 16.8 3 6 4.8 11 15 13.6 44.7 73.9 19.7
PBN(30,60) 33 41 36.0 7 10 8.0 17 20 18.4 33.8 69.6 27.9
PBN(40,80) 48 63 55.4 4 6 5.6 18 22 19.6 26.1 77.8 39.2
DBN(12,18) 3 8 5.8 1 3 2.2 9 11 10.4 64.2 82.5 20.1
DBN(20,35) 13 17 15.2 4 7 5.4 14 18 16.8 52.5 75.7 36.0
DBN(30,60) 30 39 33.6 11 15 12.6 24 30 20.2 37.5 61.6 50.6
DBN(40,80) 46 57 51.2 5 9 7.4 28 34 22.8 30.8 75.5 87.6