From: LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
Method | TP | FP | TN | FN | TPR | FPR | PPV | ACC | MCC | F-measure |
---|---|---|---|---|---|---|---|---|---|---|
Yeast Network Y2 | ||||||||||
 PC-LogicNet | 14 | 10 | 10 | 11 | 0.56 | 0.50 | 0.58 | 0.53 | 0.06 | 0.57 |
 Fuzzy-LogicNet | 14 | 8 | 12 | 11 | 0.56 | 0.40 | 0.64 | 0.58 | 0.16 | 0.60 |
 PCA-CMI-0.1 | 5 | 1 | 19 | 20 | 0.20 | 0.05 | 0.83 | 0.53 | 0.22 | 0.32 |
 PCA-CMI-0.05 | 5 | 2 | 18 | 20 | 0.20 | 0.10 | 0.71 | 0.51 | 0.14 | 0.31 |
 ARACNe | 1 | 0 | 20 | 24 | 0.04 | 0.00 | 1.00 | 0.47 | 0.13 | 0.08 |
 GENIE3-FR-sqrt | 5 | 1 | 19 | 20 | 0.20 | 0.05 | 0.83 | 0.53 | 0.22 | 0.32 |
 GENIE3-FR-all | 3 | 3 | 17 | 22 | 0.12 | 0.15 | 0.50 | 0.44 | −0.04 | 0.19 |
 Narromi | 8 | 2 | 18 | 17 | 0.32 | 0.10 | 0.80 | 0.58 | 0.26 | 0.46 |
 CN | 8 | 5 | 15 | 17 | 0.32 | 0.25 | 0.62 | 0.51 | 0.08 | 0.42 |
 GRNTE | 14 | 9 | 11 | 11 | 0.56 | 0.45 | 0.61 | 0.56 | 0.11 | 0.58 |
Yeast Network Y3 | ||||||||||
 PC-LogicNet | 17 | 7 | 16 | 5 | 0.77 | 0.30 | 0.71 | 0.73 | 0.47 | 0.74 |
 Fuzzy-LogicNet | 14 | 8 | 15 | 8 | 0.64 | 0.35 | 0.64 | 0.64 | 0.29 | 0.64 |
 PCA-CMI-0.1 | 14 | 2 | 21 | 8 | 0.64 | 0.09 | 0.88 | 0.78 | 0.57 | 0.74 |
 PCA-CMI-0.05 | 15 | 6 | 17 | 7 | 0.68 | 0.26 | 0.71 | 0.71 | 0.42 | 0.70 |
 ARACNe | 3 | 0 | 23 | 19 | 0.14 | 0.00 | 1.00 | 0.58 | 0.27 | 0.24 |
 GENIE3-FR-sqrt | 3 | 1 | 22 | 19 | 0.14 | 0.04 | 0.75 | 0.56 | 0.16 | 0.23 |
 GENIE3-FR-all | 3 | 2 | 21 | 19 | 0.14 | 0.09 | 0.60 | 0.53 | 0.08 | 0.22 |
 Narromi | 6 | 5 | 18 | 16 | 0.27 | 0.22 | 0.55 | 0.53 | 0.06 | 0.36 |
 CN | 17 | 7 | 16 | 5 | 0.77 | 0.30 | 0.71 | 0.73 | 0.47 | 0.74 |
 GRNTE | 10 | 7 | 16 | 12 | 0.45 | 0.30 | 0.59 | 0.58 | 0.15 | 0.51 |