Research Article
Application of Data Mining in WITMED: Identification of Prognostic Genes in Oral Cancer
Table 2
Some genes that are significantly related to the survival of oral cancer patients screened by Cox regression.
| Symbol | | hr | coef | Low | Up |
| STC2 | 0.003 | 1.239 | 0.215 | 1.076 | 1.428 | CLEC3B | 0.006 | 0.806 | −0.216 | 0.690 | 0.941 | COL7A1 | 0.038 | 0.825 | −0.192 | 0.688 | 0.989 | CGNL1 | 0.031 | 0.891 | −0.116 | 0.802 | 0.990 | HAPLN1 | 0.047 | 0.884 | −0.123 | 0.783 | 0.998 | TPBG | 0.045 | 1.318 | 0.276 | 1.006 | 1.726 | RORC | 0.049 | 0.902 | −0.103 | 0.814 | 1.000 | HMGA2 | 0.014 | 1.111 | 0.105 | 1.021 | 1.208 | SELENBP1 | 0.030 | 0.874 | −0.134 | 0.774 | 0.988 | CENPI | 0.042 | 1.273 | 0.242 | 1.009 | 1.608 |
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