RRHGE: A Novel Approach to Classify the Estrogen Receptor Based Breast Cancer Subtypes

Figure 2

The proposed algorithm workflow. In our study, six training sets were used to generate the robust RRHGE gene signature, and two testing sets were used to classify the ER+/ER− breast cancer samples. The RRHGE gene signature set consists of 471 genes (326 for ER+ and 145 for ER− subtype).