Research Paper Volume 13, Issue 5 pp 6957—6981

Identification of a ten-long noncoding RNA signature for predicting the survival and immune status of patients with bladder urothelial carcinoma based on the GEO database: a superior machine learning model

ROC curves and correlation analysis of different prognostic signatures. (A) Correlation analyses among known immune checkpoints, potential therapeutic targets and the risk score. The circle size represents the P value, and the colour represents the correlation coefficient. Blue indicates a positive correlation, and red indicates a negative correlation. (B) ROC curves show the sensitivity and specificity of our 10-lncRNA signature and other known biomarkers in predicting the DSS of patients from GSE32894.

Figure 9. ROC curves and correlation analysis of different prognostic signatures. (A) Correlation analyses among known immune checkpoints, potential therapeutic targets and the risk score. The circle size represents the P value, and the colour represents the correlation coefficient. Blue indicates a positive correlation, and red indicates a negative correlation. (B) ROC curves show the sensitivity and specificity of our 10-lncRNA signature and other known biomarkers in predicting the DSS of patients from GSE32894.