Table 2 The important prognostic feature DEGs screened by Logit model
From: Prognostic biomarkers related to breast cancer recurrence identified based on Logit model analysis
| ID | B | SE | Df | p value |
|---|---|---|---|---|
| UBE2L6 | − 2.2813 | 0.7054 | 1 | 0.00122 |
| ABCA3 | − 1.5546 | 0.5185 | 1 | 0.00272 |
| MAP2K6 | − 0.7117 | 0.3443 | 1 | 0.03877 |
| IL1RN | − 0.5372 | 0.2485 | 1 | 0.03064 |
| FOXJ1 | − 0.2375 | 0.0955 | 1 | 0.01285 |
| CCL22 | − 0.5239 | 0.2706 | 1 | 0.04529 |
| APC2 | 0.6777 | 0.3478 | 1 | 0.04513 |
| TRPM2 | 0.9379 | 0.3747 | 1 | 0.01232 |
| KCNIP3 | 0.9632 | 0.3339 | 1 | 0.00392 |
| MRPL13 | 3.0732 | 0.7985 | 1 | 0.00012 |