Fig. 4From: Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection Contribution of clinical, radiological, and molecular data in predicting survival of GG4 cases by ML. Circulating barplot, obtained by overall considering the results of the 3 different ML models (obtained with dataset 1, dataset 2 and dataset 3), recapitulating the overall contribution in explaining GG4 clinical outcome of clinical/radiological parameters, TMB values and dysregulated signaling pathways by detected gene mutationsBack to article page