Fig. 4.

Excavation of feature genes using machine learning. a. Feature genes between two clusters defined by the LASSO-LR algorithm. b. The pamr algorithm defines feature genes between two clusters. c. The SVM algorithm defines feature genes between two clusters. d. A random forest algorithm defines feature genes between two clusters. e. The Xgboost algorithm defines feature genes between two clusters. f. The Boruta algorithm defines feature genes between two clusters. g. Venn diagram showing the intersected feature genes defined by six machine learning algorithms. h. Forest plot showing the prognostic value of feature genes in pan-cancer.