Table 1.
Logistic regression of 48 genes to survival outcome conducted on the ovarian cancer dataset
| Gene | Estimate | Std. Error | t value | Pr(>|t|) |
|---|---|---|---|---|
| TP53BP1 | −0.077836 | 0.041337 | −1.883 | 0.0606 |
| RAD52 | −0.063386 | 0.032482 | −1.951 | 0.0519 |
| MRE11 | −0.061275 | 0.039049 | −1.569 | 0.1176 |
| POLQ | −0.058071 | 0.049820 | −1.166 | 0.2446 |
| XRCC5 | −0.056447 | 0.037277 | −1.514 | 0.1309 |
| XRCC1 | −0.047599 | 0.036273 | −1.312 | 0.1904 |
| XRCC7 | −0.037603 | 0.041710 | −0.902 | 0.3680 |
| MSH6 | −0.034452 | 0.062775 | −0.549 | 0.5835 |
| EXD2 | −0.027621 | 0.034477 | −0.801 | 0.4236 |
| RBBP8 | −0.020403 | 0.029359 | −0.695 | 0.4876 |
| APLF | −0.019839 | 0.033619 | −0.590 | 0.5555 |
| RIF1 | −0.016524 | 0.039430 | −0.419 | 0.6754 |
| LIG4 | −0.013188 | 0.031801 | −0.415 | 0.6786 |
| EXO1 | −0.010461 | 0.051082 | −0.205 | 0.8379 |
| PAXX | −0.008699 | 0.033950 | −0.256 | 0.7979 |
| H2AX | −0.007304 | 0.035200 | −0.208 | 0.8357 |
| XRCC6 | −0.006841 | 0.033174 | −0.206 | 0.8367 |
| PNKP | −0.005799 | 0.038298 | −0.151 | 0.8797 |
| LIG3 | −0.003759 | 0.028825 | −0.130 | 0.8963 |
| BRCA1 | −0.002899 | 0.038271 | −0.076 | 0.9397 |
| RAD1 | −0.002605 | 0.034548 | −0.075 | 0.9399 |
| ERCC1 | 0.001512 | 0.036701 | 0.041 | 0.9672 |
| RAD50 | 0.003361 | 0.033791 | 0.099 | 0.9208 |
| NBN | 0.005523 | 0.031675 | 0.174 | 0.8617 |
| ATR | 0.006529 | 0.041340 | 0.158 | 0.8746 |
| MSH3 | 0.008567 | 0.041481 | 0.207 | 0.8365 |
| RPA1 | 0.010596 | 0.032621 | 0.325 | 0.7455 |
| XRCC4 | 0.013539 | 0.036136 | 0.375 | 0.7082 |
| RAD51 | 0.018338 | 0.039797 | 0.461 | 0.6452 |
| TP53 | 0.018412 | 0.028813 | 0.639 | 0.5233 |
| MLH1 | 0.023919 | 0.035277 | 0.678 | 0.4982 |
| ERCC4 | 0.024449 | 0.031275 | 0.782 | 0.4349 |
| WRN | 0.024710 | 0.034415 | 0.718 | 0.4733 |
| DCLRE1C | 0.026012 | 0.035011 | 0.743 | 0.4580 |
| NHEJ1 | 0.026084 | 0.036593 | 0.713 | 0.4765 |
| PARP1 | 0.031145 | 0.042478 | 0.733 | 0.4640 |
| PARP3 | 0.033195 | 0.031000 | 1.071 | 0.2850 |
| POLM | 0.033783 | 0.032540 | 1.038 | 0.2999 |
| MLH3 | 0.036035 | 0.034967 | 1.031 | 0.3035 |
| LIG1 | 0.036274 | 0.043006 | 0.843 | 0.3996 |
| TDP1 | 0.040557 | 0.036737 | 1.104 | 0.2704 |
| MSH2 | 0.043464 | 0.063100 | 0.689 | 0.4914 |
| POLL | 0.045968 | 0.031495 | 1.460 | 0.1454 |
| PMS1 | 0.052444 | 0.030650 | 1.711 | 0.0880 |
| CTBP1 | 0.052678 | 0.030728 | 1.714 | 0.0874 |
| ATM | 0.056676 | 0.044617 | 1.270 | 0.2049 |
| APTX | 0.058779 | 0.031894 | 1.843 | 0.0662 |
| BRCA2 | 0.060350 | 0.039121 | 1.543 | 0.1239 |
Logistic regression for the gene dataset was conducted and each gene was ordered by the estimates. Positive estimates of gene expression are associated with improved survival whereas the negative estimates contribute to poor survival probability. Standard error, a t-value, and a p value for each gene in the logistic regression model was generated. P-values under 0.1 were bolded.