Research Paper Volume 14, Issue 5 pp 2348—2366
Functional implications of aging-related lncRNAs for predicting prognosis and immune status in glioma patients
Figure 2. Development and validation of aging-related lncRNAs prognosis signature. (A) LASSO regression of 15 aging-related lncRNAs. (B) Cross-validation for tuning the parameter selection in the LASSO regression. (C) Coefficient of prognosis model regression. (D) Kaplan-Meier curves of high-risk group and low-risk group in CGGA. (E) Distribution of risk score and patients based on the risk score in CGGA. (F) The tSNE2 method showed obvious two components in CGGA. (G) Kaplan-Meier curves of high-risk group and low-risk group in TCGA. (H) Distribution of risk score and patients based on the risk score in TCGA. (I) The tSNE2 method showed obvious two components in TCGA. (J and K) ROC curves of prognostic signature based on risk score in CGGA and TCGA.