Research Article
Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence
Table 2
Results of the E. coli experiments with all the available time points.
| Dataset | TP | TN | FP | FN | TPR | SPC | FPR | FNR | PPV | FDR | ACC | 1-score | Graph edges | MSE | CPU time |
| BAPSO_full | 1 | 7 | 46 | 9 | 2 | 0.78 | 0.84 | 0.16 | 0.22 | 0.44 | 0.56 | 0.83 | 0.56 | 16 | 0.0157 | 16.9 m | 2 | 7 | 40 | 15 | 2 | 0.78 | 0.73 | 0.27 | 0.22 | 0.32 | 0.68 | 0.73 | 0.45 | 22 | 0.0114 | 16.9 m | 3 | 7 | 45 | 10 | 2 | 0.78 | 0.82 | 0.18 | 0.22 | 0.41 | 0.59 | 0.81 | 0.54 | 17 | 0.0147 | 16.9 m | 4 | 4 | 43 | 12 | 5 | 0.44 | 0.78 | 0.22 | 0.56 | 0.25 | 0.75 | 0.73 | 0.32 | 16 | 0.0147 | 16.9 m |
| BAPSO_half | 1 | 7 | 38 | 17 | 2 | 0.78 | 0.69 | 0.31 | 0.22 | 0.29 | 0.71 | 0.70 | 0.42 | 24 | 0.0042 | 9.1 m | 2 | 8 | 40 | 15 | 1 | 0.89 | 0.73 | 0.27 | 0.11 | 0.35 | 0.65 | 0.75 | 0.50 | 23 | 0.0025 | 9.2 m | 3 | 6 | 43 | 12 | 3 | 0.67 | 0.78 | 0.22 | 0.33 | 0.33 | 0.67 | 0.77 | 0.44 | 18 | 0.0048 | 9.1 m | 4 | 4 | 40 | 15 | 5 | 0.44 | 0.73 | 0.27 | 0.56 | 0.21 | 0.79 | 0.69 | 0.29 | 19 | 0.0039 | 9.1 m |
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