Fig. 6 | Scientific Reports

Fig. 6

From: Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma

Fig. 6

GBM prognostic model construction and analysis. (A–C) ROC curve of the prognostic risk model constructed by three machine learning algorithms: Lasso, multivariate Cox analysis, and Step function. (D) The optimal prognostic model was screened by decision curve analysis. (E) Kaplan–Meier survival curve analysis of the high-risk and low-risk groups identified by the prognostic model; prognostic risk assessment using a Sankey diagram of the relationship between risk groups and patient subclusters, GBM subtype, age, and gender. (G) Triplet diagram established by the prognostic model. (H) Analysis of the correlation between PMTRGs and various immune cells.

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