Figure 1.

Identification of predictive factors using the Lasso Cox regression. (a) The vertical line was plotted at the given λ, selected by cross-validation. For the optimal λ, 6 features of them with a nonzero coefficient were selected. (b) The penalization coefficient λ in the Lasso model was adjusted using cross-validation and the minimum criterion. The vertical black lines define the optimal λ.