Research Article

Identification of 5 Gene Signatures in Survival Prediction for Patients with Lung Squamous Cell Carcinoma Based on Integrated Multiomics Data Analysis

Figure 3

(a) The relationship between the error rate and the number of classification trees. (b) Importance order of 5 genes out-of-bag. (c) Distribution of KM survival curves of the 5-gene signature in the TCGA training set. (d) The ROC curve and AUC of the 5-gene signature classification. (e) Risk score, survival time, survival status, and expression of the 5 genes in TCGA training.
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