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Feature selection by LASSO regression. (A) LASSO coefficient indicated that important features tended to 0 with increasing lambda. (B) The deviance was determined by adjusting the optimal regularization parameters (λ) based on 10-fold cross-validation. The left dashed line delineates the minimum norm, and the right indicates 1-standard error norm (1-SE). This study used the minimum norm. LASSO, least absolute shrinkage and selection operator.
