Additional file 1 of MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms

Supplementary material. This pdf document contains supplementary methods and all supplementary Figures and Tables. Specifically, it provides the PLS-algorithm, the extension of MINT in a regression framework, the application to the MAQC data (A vs B), the meta-analysis of the breast cancer data, the classification accuracy of the tested methods on the stem cells and breast cancer data, and details on the signature genes identified by MINT on the stem cells and breast cancer data. (PDF 4403 kb)