Table 3.
Four cluster networks with the highest clustering scores.
| Cluster | Score | Nodes | Edges | Node IDs |
|---|---|---|---|---|
| 1 | 6.333 | 7 | 38 | CDK2, CDKN1A, PCNA, RB1, CDK1, CCNA2, CCNB1 |
| 2 | 5.000 | 5 | 20 | PSEN1, APP, PSEN2, PSENEN, APH1A |
| 3 | 4.750 | 9 | 38 | SMAD2, MYC, SMAD4, TGFBR1, SMAD7, MAPK1, STAT3, ESR1, JUN |
| 4 | 3.412 | 18 | 58 | GRB2, RXRA, CDK4, MCL1, HSP90AA1, MET, BAX, NCOA1, BCL2, BCL2L1, PTPN1, CASP3, PPARG, CASP8, RELA, SMAD3, NR1I2, NR3C1 |