Fig. 5 | Scientific Reports

Fig. 5

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

Fig. 5

Comparisons between machine learning-derived prognostic signature (MLDPS) and 89 published prognostic signatures. (A) The C-index of 89 published signatures and MLDPS in CGGA-693, CGGA-325 and TCGA cohort. (B-D) Comparisons between C-index of MLDPS and 89 published signatures in CGGA-693 (B), CGGA-325 (C) and TCGA cohorts (D). (E-G) Comparisons between the area under the curve (AUC) values of MLDPS and 89 published signatures in predicting overall survival at 1-year (E) 3-year (F) and 5-year (G) in CGGA-693 cohort, respectively. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

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