Fig. 2

The performance of the all-stage diagnosis model for breast cancer. We used 80 % of the controls and cases in the COH plasma data set to train the model. The remaining COH plasma data (20 %) and the COH serum data set were used as the test set and validation set. a Receiver operating characteristic (ROC) curves for the all-stage breast cancer diagnosis from different data sets. b AUC, MCC, sensitivity, specificity, and F1-statistic to measure the performance of the all-stage diagnosis model. c Mutual information for pathway features selected by the all-stage diagnosis model. d. Log fold change of metabolites associated with the selected pathway features determined by comparing cases and controls across different data sets