Figure 2

Clinical and protein predictive markers of patient survival after transplant. Post-transplant survival prediction, by Monte Carlo Cross Validation (see “Methods”), of the 181 proteins and 37 binarized clinical characteristics. Protein (crosses) and clinical (circles) marker association (beta coefficient; a measure of influence towards patient survival) versus predictive performance (AUROC). A L1-regularized logistic regression model estimated the association (beta coefficient) of each marker to post-transplant patient survival. The diverging color palette indicates the negative log10 of the feature importance significance or p-value, after Bonferroni correction, from a permutation analysis. The significantly predictive markers with an AUROC > 0.6 are labelled.