Table 2 The scores of the top 5 genes from MCC, MNC, EPC, Degree and Betweenness algorithms of CytoHubba
Algorithms | Rank | Name | Score |
|---|---|---|---|
Betweeness | 1 | S100A12 | 300.000 |
2 | HK3 | 210.333 | |
3 | MMP9 | 108.667 | |
4 | SOCS3 | 106.833 | |
5 | ANXA3 | 105.333 | |
Degree | 1 | S100A12 | 10.000 |
2 | HK3 | 8.000 | |
3 | FCGR1A | 6.000 | |
3 | MMP9 | 6.000 | |
5 | ANXA3 | 4.000 | |
EPC | 1 | S100A12 | 13.646 |
2 | HK3 | 13.159 | |
3 | FCGR1A | 12.812 | |
4 | MMP9 | 12.767 | |
5 | MCEMP1 | 11.988 | |
MCC | 1 | S100A12 | 18.000 |
2 | HK3 | 14.000 | |
3 | MMP9 | 10.000 | |
4 | FCGR1A | 9.000 | |
5 | MCEMP1 | 7.000 | |
MNC | 1 | S100A12 | 8.000 |
2 | MMP9 | 6.000 | |
2 | HK3 | 6.000 | |
4 | FCGR1A | 5.000 | |
5 | OSM | 3.000 |