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

GSEA identified biological processes that correlated with the 10-lncRNA signature. Enriched canonical pathways (FDR

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.