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Contributed paper 2727 for EMBC'11 Supplementary Information “A disease annotation study of gene signatures in a breast cancer microarray dataset” Foivos Gypas, Ekaterini S Bei, Michalis Zervakis, Member, IEEE, Stelios Sfakianakis Table S1. List of the first gene signature (190 genes), which is the output of the RFE-LNW algorithm. For Breast Cancer, Genotator database yielded 29 genes (23.2%) from the first gene signature (125 known genes in 190 gene set). The header for each column is self-explanatory. Table S2. List of the second gene signature (82 genes), which is the outcome of the Lasso Algorithm. For Breast Cancer, Genotator database yielded 12 genes (27.27%) from the second gene signature (44 known genes in 82 gene set). The header for each column is self-explanatory. Table S3. List of the 152 genes represented the third gene signature (MLP), which is derived from a combination of RFE-LNW and FSMLP algorithms. For Breast Cancer, Genotator database yielded 39 genes (38.24%) from the third gene signature (102 known genes in 152 gene set). The header for each column is self-explanatory. Note: Interestingly, a single gene, the ERRFI1 gene is a particularly distinct marker among all three gene signatures and is marked by orange color (in all three S1, S2 and S3 Tables).