Fig. 2
From: Intestinal metabolites predict treatment resistance of patients with depression and anxiety
Variable selection using elastic net analysis. (a) The coefficient path for the elastic net-regularized logistic regression applied to the metabolome data dependent on log(𝜆). The number of non-zero coefficients is shown above the plot. (b) Cross-validation binomial deviance curve derived from elastic net-regularized logistic regression analysis of metabolome data, along with one-standard-error bands calculated from 10-fold realizations. The vertical line corresponds to the minimum value for log(𝜆). (c) Violin plot of the predicted values calculated by elastic net-regularized logistic regression analysis of the metabolome data. (d) Coefficient path for the elastic net-regularized logistic regression applied to the metagenome data dependent on log(𝜆). The number of non-zero coefficients is shown above the plot. (e) Cross-validation binomial deviance curve for the elastic net regularized logistic regression analysis of metagenome data, with one-standard-error bands calculated from 10-fold realizations. The vertical line corresponds to the minimum value for log(𝜆). (f) Violin plot of the predicted values calculated by elastic net-regularized logistic regression analysis of the metagenome data