Table 4.
Performance of the proposed algorithm in case of model mismatch. Evaluated on 500 randomly generated network families.
 , pcancer = 0.001, p = 0.003, β2 = 0.1 | ||||||
|---|---|---|---|---|---|---|
| p1 |  |
 |
 |
AVG of 
|
AVG of # of paths | AVG of # of SSD calculations |
| p1 = 0.1 | 0.88 | 0.77 | 0.76 | 8.65 | 2.3 | 3177.1 |
| p1 = 0.3 | 0.49 | 0.43 | 0.42 | 46.8 | 4.29 | 4693.9 |
| p1 = 0.5 | 0.25 | 0.20 | 0.19 | 61.31 | 4.35 | 5802.1 |
| p1 = 0.7 | 0.18 | 0.15 | 0.14 | 77.82 | 4.41 | 6870.7 |
Performance of the proposed algorithm in case of model mismatch. Evaluated on 500 randomly generated network families. Each family contained 
6-gene networks (k = 2, M = 2, and pb = 0.3).