Research Paper Volume 16, Issue 7 pp 6054—6067
Identification of a novel disulfideptosis-related gene signature for prognostic implication in lower-grade gliomas
Figure 4. Establishing a nomogram model in GBMLGG. (A) UpSet diagram shows the common differentially expressed genes between tumor group and normal group of TCGA dataset and GEO pooled dataset. (B) Multivariate regression analysis was used to analyze the clinical information and differentially expressed genes of GBMLGG. (C) Nomogram showed the factors related to the prognosis of GBMLGG. (D) C-index and (E) ROC curve were used to calculate the reliability and accuracy of the Nomogram model.