Table 5.
Performance of the proposed algorithm in case of model mismatch. Evaluated on 200 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 | 0.94 | 0.82 | 0.80 | 14.33 | 2.52 | 12,454 |
| p1 = 0.3 | 0.43 | 0.37 | 0.36 | 140.5 | 4.9 | 17,850 |
| p1 = 0.5 | 0.28 | 0.22 | 0.21 | 172.48 | 4.54 | 21,175 |
| p1 = 0.7 | 0.19 | 0.13 | 0.13 | 234.8 | 4.60 | 26,060 |
Performance of the proposed algorithm in case of model mismatch. Evaluated on 200 randomly generated network families. Each family contained 
, 024 6-gene networks (k = 2, M = 2, and pb = 0.3).