Fig. 3From: RACGAP1 promotes the progression and poor prognosis of lung adenocarcinoma through its effects on the cell cycle and tumor stemnessMachine learning was used to screen key genes. (A) Lasso regression analysis; (B) Random forest analysis; (C) Lasso-cox regression analysis; (D) Random survival forest analysis; (E) Venn diagram showing the overlap between the different machine learning methods; (F) The accuracy of different subtypes of stemness was evaluated by ROC curve; (G) Survival analysis of the high and low expression groups of PBK and RACGAP1.Back to article page