Fig. 3

The association between radiomic features and TMB status. A. The comparison of TMB as a continuous factor between patients in the clustering group A and B; B, C. The relationship between the top 20 driver mutations of BLCA (B) and radiomic clustering groups or TMB status (C), * p value < 0.05. D. Volcano plot illustrating the results of univariate logistic regression of radiomic features. E, F. LASSO regression for TMB-prediction based on radiomic features. E: The dotted vertical line was plotted at the value selected by the 10-fold cross-validation based on the minimum criteria (the value of lambda with the lowest partial likelihood deviance). F: Selection of the tuning parameter (lambda) in the LASSO regression via 10-fold cross-validation based on minimum criteria. TMB: Tumor mutation burden; BLCA: Bladder cancer; LASSO: Least absolute shrinkage and selection operator