Table 3 Topological analysis of different KOG categories in Saccharomyces cerevisia PPI network
From: A novel subgradient-based optimization algorithm for blockmodel functional module identification
| KOG ID | Method | proteins | sparse modules/modules | Avg. density | Avg. clustering coef. |
|---|---|---|---|---|---|
| U | SGPG | 353 | 15/26 | 2.98% | 0.0814 |
| MCL | 256 | 0/21 | 27.38% | 0.2402 | |
| K | SGPG | 359 | 6/24 | 6.68% | 0.1352 |
| MCL | 361 | 0/19 | 26.35%0 | 0.1834 | |
| J | SGPG | 579 | 9/24 | 9.16% | 0.0678 |
| MCL | 358 | 0/25 | 37.90% | 0.1429 | |
| T | SGPG | 169 | 13/21 | 3.47% | 0.0755 |
| MCL | 94 | 0/12 | 31.31% | 0.0912 |