Fig. 6 | Scientific Reports

Fig. 6

From: Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma

Fig. 6

Pan-cancer survival analysis and functional characteristics of the high and low machine learning-derived prognostic signature (MLDPS) groups. (A-H) Kaplan-Meier survival analysis for overall survival (OS) in TCGA-ACC (A), TCGA-BRCA (B), TCGA-COAD (C), TCGA-LAML (D), TCGA-GBMLGG (E, excluded the AYAs glioma), TCGA-MESO (F), TCGA-SARC (G) and TCGA-THCA cohort (H). (I-J) The biological processes (BP) (I) and pathways (J) enriched in high MLDPS group. (K-L) The biological processes (BP) (K) and pathways (L) enriched in low MLDPS group.

Back to article page