1) The document describes a Markov Chain model built to predict gene expression signatures associated with epithelial and mesenchymal cells based on data from 1165 breast cancer patients. 2) The model incorporates the known TGFB-induced EMT pathway and regulatory relationships between molecules to recursively predict expression likelihood. 3) Expression patterns are mapped to epithelial and mesenchymal cell types based on the expression level of the CDH1 gene, which plays a key role in cell phenotype and the initiation of EMT.