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Fig. 4 | BMC Medical Genomics

Fig. 4

From: Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia

Fig. 4

Testing the TCGAPO-derived RSF prognosis model with GMI signature on the TCGAPT. a Variable importance values derived from random survival forest analysis. The log-rank splitting rule was used for model development. b Kaplan-Meier survival curves from 5-fold cross-validation results of the TCGAPO-derived RSF prognosis model. c Testing the TCGAPO-derived RSF prognosis model on independent test dataset TCGAPT. Kaplan-Meier survival curves derived for the risk stratification of TCGAPT dataset

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