Table 1.
The number of common predicted proteins (overlap) among the top 100 proteins ranked by different centrality measures
| Datasets | Centrality measures | BC | EC | SC | CC | #overlaps among five centrality measures | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| #overlap | #EP | #overlap | #EP | #overlap | #EP | #overlap | #EP | #overlap | #EP | ||
| PIN76K | DC | 66 | 22 | 57 | 26 | 92 | 38 | 51 | 20 | 29 | 7 |
| BC | 36 | 12 | 63 | 21 | 49 | 16 | |||||
| EC | 65 | 30 | 41 | 12 | |||||||
| SC | 51 | 19 | |||||||||
| PIN24K | DC | 84 | 36 | 57 | 29 | 97 | 43 | 71 | 31 | 43 | 21 |
| BC | 47 | 24 | 82 | 36 | 64 | 28 | |||||
| EC | 56 | 29 | 67 | 29 | |||||||
| SC | 70 | 31 | |||||||||
Proteins are ranked according to the scores calculated by each centrality measure. Then top 100 ranked proteins for each centrality measure are selected as the candidates of essential proteins, out of which the number of true essential proteins are determined. #overlap represents the number of common predicted proteins among the top 100 ranked proteins by different centrality measures and #EP the number of true essential proteins among the overlaps