Fig. 2

A robust replication stress signature (RSS) was developed by machine learning benchmark. A The Boruta algorithm identified 47 replication stress-related genes that were associated with PCa recurrence. Yellow represents confirmed features while other colors denote shadow attributes. The corresponding boxplots compared the concordance index (C-index) values (B) and integrated brier score (IBS) (C) of 7 survival-related machine learning algorithms using nest cross-validation. The individual dots correspond to the results of each independent validation. D Comparison of time-dependent area under the receiver operating characteristic curve (AUC) values at 1-, 3-, 5-, and 10-year among the machine learning algorithms. Dots indicate the average AUC values. E Bar plot of feature importance. Contributions of included genes for prostate cancer recurrence to the XGBoost model in the TCGA-PRAD cohort