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Table 1 The LogicNet performance in predicting the GRNs and the logic functions, for 100 logic function simulations. The performance is evaluated at three levels, i.e., for undirected/directed networks and for directed logical networks in which the integrative detection of the directed edges and logic functions is evaluated

From: LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks

  Sample size GRN TPR FPR PPV ACC MCC F-measure
PC-LogicNet 10 Undirected 0.48 0.05 0.82 0.79 0.51 0.61
Directed 0.42 0.08 0.51 0.84 0.37 0.46
Directed Logical 0.42 0.52 0.46
50 Undirected 0.50 0.05 0.84 0.80 0.53 0.63
Directed 0.44 0.08 0.53 0.84 0.39 0.48
Directed Logical 0.43 0.53 0.47
Fuzzy-LogicNet 10 Undirected 0.43 0.05 0.81 0.77 0.46 0.56
Directed 0.36 0.05 0.57 0.85 0.37 0.44
Directed Logical 0.09 0.13 0.10
50 Undirected 0.50 0.10 0.72 0.77 0.45 0.59
Directed 0.43 0.07 0.55 0.85 0.40 0.48
Directed Logical 0.08 0.10 0.09