Fig. 3

Feature selection selected by the least absolute shrinkage and selection operator (LASSO) algorithm. A Tuning parameter (Lambda, λ) selection in the LASSO model was optimized by 10-fold cross-validation via minimum criteria of the loss function. The dotted vertical lines in the figure and the optimal λ value of 0.03607348 were chosen corresponding to the partial likelihood estimation. B The vertical line was plotted at the optimal λ value, and twelve features with non-zero coefficient were selected