Table 1 Performance of the proposed algorithm evaluated on 500 randomly generated network families.
| |||||||
|---|---|---|---|---|---|---|---|
p 1 | P miss |
|
|
| AVG of | AVG of # of paths | AVG of # of SSD calculations |
p1 = 0.1 | 0.81 | 0.66 | 0.58 | 0.57 | 24.3 | 3.71 | 3,421 |
p1 = 0.3 | 0.49 | 0.45 | 0.41 | 0.39 | 45.11 | 4.17 | 4,677 |
p1 = 0.5 | 0.25 | 0.24 | 0.21 | 0.20 | 64.27 | 4.41 | 5,918 |
p1 = 0.7 | 0.09 | 0.06 | 0.04 | 0.04 | 94.84 | 4.60 | 9,208 |
, p
cancer
= p = 0.001, β2 = 0.1
- Performance of the proposed algorithm evaluated on 500 randomly generated network families. Each family contained
6-gene networks (k = 2, M = 2, and p
b
= 0.3)
6-gene networks (k = 2, M = 2, and p
b
= 0.3)