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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
  1. Note:B regression coefficient, SE Standard error, Df Degree of freedom