Table 1.
(a) ER network model | |||||
---|---|---|---|---|---|
q | k | TP | FP | FN | TN |
1 | 1 | 223 | 229 | 21 | 9735 |
2.5 | 229 | 105 | 15 | 9741 | |
1 | 2 | 311 | 162 | 27 | 9635 |
2.5 | 320 | 50 | 18 | 9644 | |
1 | 3 | 344 | 131 | 36 | 9584 |
2.5 | 362 | 17 | 18 | 9602 | |
1 | 4 | 381 | 96 | 46 | 9527 |
2.5 | 397 | 15 | 30 | 9543 | |
1 | 5 | 383 | 96 | 91 | 9435 |
2.5 | 401 | 11 | 73 | 9453 | |
(b) BA network model | |||||
q | k | TP | FP | FN | TN |
1 | 1 | 168 | 285 | 47 | 9738 |
2.5 | 175 | 149 | 40 | 9745 | |
1 | 2 | 251 | 212 | 30 | 9689 |
2.5 | 259 | 83 | 22 | 9697 | |
1 | 3 | 304 | 156 | 55 | 9586 |
2.5 | 314 | 37 | 45 | 9596 | |
1 | 4 | 348 | 125 | 102 | 9448 |
2.5 | 356 | 21 | 94 | 9456 | |
1 | 5 | 360 | 110 | 117 | 9406 |
2.5 | 383 | 16 | 94 | 9429 |
The best results found for q = 2.5 compared with q = 1.0 by considering each gene individually in the same network: (a) uniformly-random Erdös-Rényi model (ER) and (b) scale-free Barabási-Albert network topology (BA).