Table 7.
Performance comparison of the biclustering networks.
| Methods | EdgeCount | TP | FP | TN | FN | AUROC | AUPR |
|---|---|---|---|---|---|---|---|
| Gold | 2194 | 2194 | 0 | 400396 | 0 | 1 | 1 |
| ALL | 5440 | 94 | 5346 | 395050 | 2100 | 0.5148 | 0.0073 |
| SAMBA | 1611 | 46 | 1565 | 398831 | 2148 | 0.5085 | 0.0072 |
| ISA | 2558 | 56 | 2502 | 397894 | 2138 | 0.5097 | 0.0067 |
| OPSM | 220 | 12 | 208 | 400188 | 2182 | 0.5025 | 0.0067 |
| Friedman | 947 | 22 | 925 | 399471 | 2172 | 0.5039 | 0.0065 |
| CMSBE | 735 | 20 | 715 | 399681 | 2174 | 0.5037 | 0.0063 |
| K-means | 380 | 13 | 367 | 400029 | 2181 | 0.5025 | 0.0061 |
| Bivisu | 1515 | 13 | 1502 | 398894 | 2181 | 0.5011 | 0.0055 |
| CC | 590 | 3 | 587 | 399809 | 2191 | 0.5000 | 0.0054 |
Performances of biclustering networks are compared with the Friedman network and gold network. EdgeCount: the number of network edges; TP: number of true positive edges; TN: number of true negative edges; FP: number of false negative edges; AUROC: area under ROC curve; AUPR: area under precision recall curve.