Figure 1.

Proteomics signature profiling (PSP) pipeline. The pipeline consists of incorporating data from complex, PPI and GO. Protein lists from individual patients are converted into a proteomics signature profile (PSP) based on a vector of complexes generated from CORUM and graphlet-derived clusters. The PSP can then be used for performing sample clustering for assessing the patient samples and determining significant clusters. GO terms are used to evaluate functional significance and coherence. (Abbreviations: GDV, Graphlet degree vector; GDS, Graphlet Degree Similarity Scores). For detailed explanations, refer to Results.