Table 4.
Clustering analysis results of the PPI network node.
| Cluster | Genes | Score | Nodes | Edges |
|---|---|---|---|---|
| 1 | MDM2, EGFR, EP300, HDAC1, MPO, MAPK10, PLG, MMP9, SRC, MMP2, ERBB2, PPARG, MMP3, STAT3, CCND1, JAK2, PARP1, KDR, PTGS2, VEGFA, TNF, VCAM1, MTOR, MAP2K1, MMP1, NOS3, AKT1, AR, ICAM1, MAPK3, MAPK14, MMP7, FGF2, NR3C1, IGF1R, MAPK1, MAPK8, HMOX1, ESR1, HIF1A, JUN, IL6, MMP13, MET, HSP90AA1 | 34.182 | 45 | 752 |
| 2 | NCF1, REN, NOS2, FYN, ADAM17, STAT1, PIK3CA, PIK3R1, KIT, CDK1, PTPN1, MMP14, SELE, TERT, RAF1, MAPK9, ABL1, AKT2, AGTR1, APP, ESR2 | 6.500 | 21 | 65 |
| 3 | PRKCE, PRKCB, PRKCD, PRKCA, BCL2, PRKCQ, AURKA, PRKCG, CHEK2, HDAC6, KAT2B, PRKCH, PRKCZ, IKBKB | 6.000 | 14 | 39 |
| 4 | CXCR1, CXCR3, ADORA3, ADORA1, DRD2 | 5.000 | 5 | 10 |
| 5 | CALCRL, PTGER2, CRHR1 | 3.000 | 3 | 3 |
| 6 | LTB4R, AVPR1A, HTR2B | 3.000 | 3 | 3 |
| 7 | CTSL, CAPN2, CAPN1 | 3.000 | 3 | 3 |
| 8 | EPHB4, EPHB2, EPHA4 | 3.000 | 3 | 3 |
| 9 | CALCRL, PTGER2, CRHR1 | 3.000 | 3 | 3 |