Download Contributed paper 2727 for EMBC`11 Supplementary Information “A

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).