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Fig. 3 | Journal of Translational Medicine

Fig. 3

From: Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients

Fig. 3

Receiver operating characteristic (ROC) curve (A), calibration curve (C) and decision curve analysis (DCA) (E) of the training set (N = 120) as well as the ROC curve (B), calibration curve (D) and DCA analysis (F) of the testing set (N = 30) from the established nomogram model (Fig. 2C) based on binary risk classification (high vs low risk) of 70-gene signature test

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