Research Article
Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence
Table 4
Comparison with contemporary research [
46] for the
E. coli experiments.
| Known interactions | Predictions by | [13] | [61] | [34] | [46] | [62] | PSO | BAPSO |
| lexA → lexA | Yes | Yes | No | Yes | Yes | Yes | Yes | lexA → recA | Yes | Yes | Yes | Yes | Yes | Yes | Yes | recA → lexA | Yes | Yes | No | No | No | Yes | Yes | lexA → uvrA | Yes | Yes | Yes | Yes | Yes | Yes | Yes | lexA → uvrD | No | No | Yes | Yes | Yes | Yes | Yes | lexA → uvrY | No | No | No | Yes | No | Yes | Yes | lexA → umuD | No | Yes | Yes | Yes | Yes | Yes | Yes | lexA → ruvA | No | No | No | Yes | No | Yes | Yes | lexA → polB | No | No | Yes | Yes | Yes | Yes | Yes |
| Spurious edges (FP) | 5 | 10 | 2 | 5 | 3 | 10 | 9 |
| Precision (PPV) | 0.44 | 0.33 | 0.71 | 0.62 | 0.70 | 0.47 | 0.44 |
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