Table 10.
Performance comparison with DyCluster method on Krogan dataset and gene expression data using CYC2008 as benchmark
| P | R | F | Sn | PPV | Acc | |
|---|---|---|---|---|---|---|
| Our method | 0.468 | 0.475 | 0.471 | 0.364 | 0.729 | 0.515 |
| DyCluster + ClusterONE | 0.307 | 0.348 | 0.326 | 0.394 | 0.682 | 0.518 |
| DyCluster + COAN | 0.565 | 0.23 | 0.327 | 0.27 | 0.677 | 0.428 |
| DyCluster + COACH | 0.48 | 0.243 | 0.322 | 0.321 | 0.617 | 0.445 |
| DyCluster + CMC | 0.531 | 0.201 | 0.292 | 0.258 | 0.691 | 0.423 |
| DyCluster + HUNTER | 0.569 | 0.169 | 0.261 | 0.268 | 0.493 | 0.364 |
| DyCluster + MCL | 0.29 | 0.173 | 0.214 | 0.371 | 0.376 | 0.373 |
F: F-score, P: precision, R: recall. The highest score of each row is shown in bold