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Fig. 8 | BMC Bioinformatics

Fig. 8

From: Identification and validation of a siglec-based and aging-related 9-gene signature for predicting prognosis in acute myeloid leukemia patients

Fig. 8

Establishment of the siglec-based and aging-related 9-gene prediction model. A Lasso regression analysis of the 22 candidate genes. B Lasso variable trace plot. C Risk score was calculated and plotted for each AML patient based on the 9-gene prediction model. D Survival probability of AML patients with high and low risk scores calculated using the 9-gene prediction model. Nomogram (E) and calibration graph (F) showing the prediction of AML patient outcome according to age, cytogenetics risk, FAB and risk score. G The time-dependent receiver operating characteristic curve of the prediction model. False positive rate, FPR; true positive rate, TPR. H DCA plot showing net benefit generated by the 9-gene prediction model

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