Development and validation of a circulating tumor DNA-based optimization-prediction model for short-term postoperative recurrence of endometrial cancer

Figure 1 Lasso regression analysis was used for variable selection to identify the most predictive clinical factors. A: The Lasso weight coefficient distribution of the screened variables; B: Penalty coefficient (λ) and binomial deviation diagram; C: Venn diagram showing features selected by univariate Cox regression and Lasso regression.