A. Venn diagram of the overlap of peptide sequences selected by recursive feature elimination as a minimal set of peptide reactivities which separates optimally the 4 diagnoses; B. Comparison of the quality of separation based on the different graphs. The separation of the cases of each pair of diagnosis was estimated using the clustering criterion and the six values from these comparisons were used to further compare the different feature sets. IgM based immunosignature patterns were more efficient. For IgG based patterns, the topology seemed to have a greater (and opposite to those in the IgM assays) effect but it did not reach statistical significance. (C) and (D) multidimensional scaling projections of the different patients’ sera profiles with the optimal feature sets (peptide sequences) for linear_IgM (C – best separation) and linear_IgG (D – worst separation).