Moreover, we applied the differentiation predictor to the mouse data set of Herschkowitz et al. [5] (Figure 4e) and observed that the previously identified claudin-low murine samples scored the lowest, while the MMTV-Neu and MMTV-PyMT models, which are known luminal mammary adenocarcinoma models, scored the highest. This evidence concerns the gene ERBB2 and breast adenocarcinoma.