Research Article

Construction of Immune-Associated Nomogram for Predicting the Recurrence Survival Risk of Stage I Cervical Cancer

Figure 2

Candidate immune gene selection according to the LASSO Cox regression model. (a) 10-fold cross-validation for tuning parameter selection in the LASSO model by minimum criteria (the 1-SE criteria). (b) LASSO coefficient profiles of the 104 immune genes. A coefficient profile plot was generated against log (lambda) sequence. Vertical line was drawn at the value selected with 10-fold cross-validation, where optimal lambda resulted in 25 nonzero coefficients.
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