Figure 6From: Interrogating differences in expression of targeted gene sets to predict breast cancer outcome Boxplots of C-index values for the 1000 test data sets, stratified by ER +/- status. Predictions were made using Cox regression models fitted to each training set, derived using gene expression (GE) data. Genes included in both the OS and DFS models were PGR, GABRP, TBC1D9, SLC39A6 and LRBA, while NAT1 was also included in the model for DFS.Back to article page