Fig. 2
From: Prognosis prediction based on methionine metabolism genes signature in gliomas
The development and evaluation of a prognostic model of the Met metabolism gene risk signature for gliomas. (A) LASSO coefficient profiles of the 23 genes in the TCGA data set. (B) Selection of the optimal parameter (lambda) in the Lasso model. (C) Seven genes were chosen for establishing a prognosis signature. (D) Kaplan–Meier survival analysis of high-risk groups (red) and low-risk groups (blue). (E) Analysis of risk score, survival status, and survival time between two risk groups, as well as the expression distribution of the Seven Met metabolism gene signature in the TCGA dataset. (F) Time-dependent ROC curves demonstrated the AUC value of prognostic model