Table 2 Performance of the proposed algorithm evaluated on 200 randomly generated network families.
| |||||||
|---|---|---|---|---|---|---|---|
p 1 | P miss |
|
|
| AVG of | AVG of # of paths | AVG of # of SSD calculations |
p1 = 0.1 | 0.81 | 0.65 | 0.57 | 0.56 | 68.3 | 4.45 | 13,289 |
p1 = 0.3 | 0.49 | 0.46 | 0.40 | 0.39 | 138.17 | 4.70 | 17,319 |
p1 = 0.5 | 0.25 | 0.23 | 0.17 | 0.17 | 206.7 | 4.97 | 21,846 |
p1 = 0.7 | 0.09 | 0.05 | 0.03 | 0.03 | 293.4 | 4.98 | 36,348 |
, p
cancer
= p = 0.001, β2 = 0.1
- Performance of the proposed algorithm evaluated on 200 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).