From: Learning restricted Boolean network model by time-series data
K | Noise (%) | Algorithm | m = 10 | m = 20 | m = 30 | m = 40 | ||||
---|---|---|---|---|---|---|---|---|---|---|
TP | FP | TP | FP | TP | FP | TP | FP | |||
3 | 0 | Three-rule | 6.2 | 0 | 8.7 | 0.6 | 11.3 | 1.6 | 13.3 | 3.0 |
New | 8.7 | 3.1 | 10.5 | 3.1 | 11.8 | 3.3 | 12.5 | 3.3 | ||
Best-fit | 8.1 | 4.6 | 10.2 | 5.4 | 12.2 | 6.4 | 13.3 | 7.0 | ||
5 | Three-rule | 2.6 | 2.7 | 7.3 | 11.5 | 10.6 | 20.7 | 12.5 | 30.3 | |
New | 7.0 | 7.5 | 8.7 | 6.9 | 10.1 | 6.3 | 10.7 | 6.3 | ||
Best-fit | 7.1 | 11.1 | 9.2 | 15.1 | 10.8 | 15.7 | 11.6 | 15.9 | ||
10 | Three-rule | 1.8 | 3.6 | 6.5 | 17.6 | 10.5 | 31.6 | 12.4 | 39.8 | |
New | 5.5 | 10.0 | 6.9 | 9.5 | 8.1 | 9.2 | 8.4 | 9.1 | ||
Best-fit | 6.0 | 15.2 | 8.1 | 19.1 | 9.2 | 19.3 | 9.9 | 19.0 | ||
5 | 0 | Three-rule | 6.7 | 0.1 | 8.9 | 0.6 | 11.0 | 1.3 | 12.6 | 2.3 |
New | 8.3 | 2.7 | 9.9 | 3.0 | 10.9 | 3.4 | 11.4 | 3.9 | ||
Best-fit | 8.2 | 4.6 | 10.1 | 5.4 | 11.8 | 6.4 | 12.7 | 6.9 | ||
5 | Three-rule | 3.0 | 3.2 | 7.86 | 11.8 | 10.7 | 20.5 | 12.8 | 28.6 | |
New | 6.7 | 7.6 | 8.4 | 7.0 | 9.3 | 6.7 | 9.8 | 6.3 | ||
Best-fit | 7.1 | 11.5 | 9.2 | 15.4 | 10.4 | 15.7 | 11.1 | 16.1 | ||
10 | Three-rule | 2.7 | 2.8 | 6.9 | 16.5 | 10.6 | 31.6 | 12.4 | 39.4 | |
New | 5.3 | 9.9 | 7.0 | 9.5 | 7.5 | 9.3 | 8.1 | 9.1 | ||
Best-fit | 7.2 | 11.5 | 8.2 | 18.9 | 9.0 | 19.3 | 9.4 | 19.4 |