Figure 1 — 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 1.Workflow of the construction and validation of the signature. ROC: Receiver operating characteristic; GSEA: gene set enrichment analysis; GEO: Gene Expression Omnibus.