Application of Data Mining in WITMED: Identification of Prognostic Genes in Oral Cancer

Table 1

Some significant differentially expressed genes screened out by gene differential expression analysis.

Symbol	logFC	AveExpr	t	. value	adj. . val	B
CAB39L	2.268	7.155	18.160	2.400E − 52	2.500E − 48	108.300
GLT25D1	−1.428	11.830	−17.970	1.400E − 51	9.500E − 48	106.500
GPRIN1	−2.329	8.533	−16.110	4.700E − 44	8.800E − 41	89.380
COL4A1	−2.922	12.660	−15.880	4.100E − 43	6.500E − 40	87.240
MYBL2	−2.335	10.560	−15.780	1.000E − 42	1.500E − 39	86.350
CDCA5	−2.090	9.803	−15.740	1.500E − 42	2.000E − 39	85.990
HOXA10	−3.953	6.401	−15.620	4.600E − 42	5.800E − 39	84.860
NETO2	−2.080	9.347	−15.470	1.800E − 41	1.900E − 38	83.510
GPD1L	2.498	8.613	15.450	2.100E − 41	2.100E − 38	83.330
FOXM1	−2.243	10.710	−15.290	9.200E − 41	8.200E − 38	81.890
AGFG2	1.969	8.630	15.190	2.300E − 40	2.000E − 37	80.990
CENPA	−2.186	7.679	−15.070	6.800E − 40	5.400E − 37	79.910
KIF2C	−2.087	9.666	−15.030	9.700E − 40	7.400E − 37	79.570
EME1	−1.985	6.424	−14.870	4.300E − 39	3.100E − 36	78.100
LOXL2	−3.116	10.050	−14.860	4.900E − 39	3.500E − 36	77.960
COL4A2	−2.610	12.920	−14.820	6.400E − 39	4.400E − 36	77.700
IL11	−4.011	6.292	−14.820	6.900E − 39	4.500E − 36	77.630
TPX2	−2.096	11.010	−14.780	1.000E − 38	6.300E − 36	77.240
KIF14	−2.356	8.229	−14.640	3.600E − 38	1.900E − 35	76.000