Figure 5 — 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

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

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Figure 5.(A) Patients’ survival status and DSS time. (B) Heatmap of the lncRNA expression profiles. Rows represent lncRNA expression, and columns represent patients. The middle dividing lines represent the median lncRNA risk score cut-off point. The graduated colour, from blue to red, represents the risk score.