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Fig. 5 | Journal of Translational Medicine

Fig. 5

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. 5

Receiver operating characteristic (ROC) curve (A) and calibration curve (C) of the training set (N = 120) and counterparts (B, D) of the testing set (N = 30) from the established nomogram model (Fig. 4C) based on quartile categorized risk classification (ultra-high, high, low and ultra-low risk) of 70-gene signature test

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