From: Multiset sparse partial least squares path modeling for high dimensional omics data analysis
Methylation markers | Gene expression markers | Cytokine markers | |||
---|---|---|---|---|---|
Site | w | Gene code | w | Marker code | w |
cg23054189 | 0.93 | AGTR2 | -0.59 | b NGF 46 | 0.57 |
cg18347642 | 0.93 | C2orf43 | 0.87 | CTACK 72 | 0.52 |
cg16489610 | 0.85 | CCDC112 | 0.87 | GRO a 61 | 0.16 |
cg27013696 | 0.91 | DKFZP434 | -0.58 | HGF 62 | -0.08 |
cg20457796 | 0.93 | GMCL1 | 0.88 | Hu Eotaxin 43 | 0.12 |
cg03181582 | 0.91 | LPO | -0.77 | Hu FGF basic 44 | 0.23 |
cg10521851 | 0.9 | MAD2L1 | 0.74 | Hu G.CSF 57 | -0.57 |
cg19968840 | 0.92 | MGC4473 | -0.81 | Hu GM CSF 34 | -0.03 |
cg27648075 | 0.92 | NFAM1 | -0.7 | Hu IFN g 21 | -0.03 |
cg22891500 | 0.92 | NMI | 0.8 | Hu Il 10 56 | 0.17 |
cg05158197 | 0.92 | PF4 | -0.83 | Hu IL 12 p70 75 | 0.43 |
cg20119106 | 0.93 | PRDM14 | -0.71 | Hu IL 13 51 | 0.26 |
cg02675353 | 0.91 | PSMA8 | -0.63 | Hu IL 15 73 | 0.67 |
cg26991025 | 0.93 | RDM1 | 0.47 | Hu IL 17 76 | -0.14 |
cg20643012 | 0.92 | RNF8 | 0.69 | Hu IL 1b 39 | -0.03 |
TTC30A | 0.8 | Hu IL 1ra 25 | -0.03 | ||
TTC30B | 0.68 | Hu IL 2 38 | 0.36 | ||
TTC4 | 0.81 | Hu IL 4 52 | 0.67 | ||
UNQ6126 | -0.79 | Hu IL 5 33 | 0.23 | ||
ZNF677 | 0.86 | Hu IL 6 19 | -0.04 | ||
Hu IL 7 74 | 0.44 | ||||
Hu IL 8 54 | -0.69 | ||||
Hu IL 9 77 | 0.13 | ||||
Hu IP 10 48 | 0.73 | ||||
Hu MCP 1 MCAF 53 | -0.09 | ||||
Hu MIP 1a 55 | -0.24 | ||||
Hu MIP 1b 18. | 0.26 | ||||
Hu PDGF bb 47 | 0.3 | ||||
Hu RANTES 37 | 0.84 | ||||
Hu VEGF 45 | 0.69 | ||||
IFN a2 20 | -0.29 | ||||
Il 12 p40 28 | 0.59 | ||||
Il 16 27 | 0.35 | ||||
Il 18 42 | 0.4 | ||||
Il 1a 63 | 0.04 | ||||
Il 2Ra 13 | 0.57 | ||||
Il 3 64 | 0.18 | ||||
LIF 29 | -0.04 | ||||
M CSF 67 | 0.24 | ||||
MCP 3 26 | 0.19 | ||||
MIF 35 | -0.48 | ||||
MIG 14 | 0.24 | ||||
SCF 65 | -0.11 | ||||
SCGF b 78 | 0.65 | ||||
SDF 1a 22 | 0.39 | ||||
TNF b 30 | -0.19 | ||||
TRAIL 66 | 0.38 |