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Fig. 3 | BMC Cancer

Fig. 3

From: RACGAP1 promotes the progression and poor prognosis of lung adenocarcinoma through its effects on the cell cycle and tumor stemness

Fig. 3

Machine 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.

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