Figure 2.

The AUCs for predictive models built with linear support vector machines on the Clinical Proteomic Tumor Analysis Consortium breast cancer data. Models built with transcript levels performed better than models built with other data modalities for PR status and ER status. For HER2 status, copy number was the most predictive modality. The error bars represent standard errors of the mean. AUC indicates area under receiver operating characteristic curve; ER, estrogen; HER2, human epidermal growth factor receptor 2; PR, progesterone.