Identification of Potential Biomarkers in Glioblastoma through Bioinformatic Analysis and Evaluating Their Prognostic Value

Table 3

The statistical results of the connectivity of the network.

Gene	MCC	DMNC	MNC	Degree
TOP2A	9.22E+13	0.87325	40	56
CDK1	9.22E+13	0.68829	47	47
VEGFA	5763	0.18902	40	43
SYT1	4.37E+07	0.37425	40	42
CDC20	9.22E+13	1.01161	34	37
KIF4A	9.22E+13	0.98669	34	36
CALB1	4586	0.27262	33	35
BDNF	7597	0.33146	32	35
SYP	3760934	0.39583	33	35
DLGAP5	9.22E+13	1.1534	33	35
KIF20A	9.22E+13	1.05547	35	35
TTK	9.22E+13	1.10629	34	35
NDC80	9.22E+13	1.13243	33	35
GNG3	7267294	0.41708	32	34
CEP55	9.22E+13	1.07639	34	34
SYN1	3799485	0.41397	31	34
PBK	9.22E+13	1.09881	34	34
CDCA8	9.22E+13	1.1038	34	34
TPX2	9.22E+13	1.11408	33	34
RRM2	9.22E+13	1.03281	33	34