Figure 10 — 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 10.GSEA identified biological processes that correlated with the 10-lncRNA signature. Enriched canonical pathways (FDR < 0.01) were mapped in the whole pathway overview. Each dot represents a function, and each line indicates a pathway.