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Inferring Modules From Human Protein Interactome Classes, Elisabetta Marras, Antonella Travaglione, Gautam Chaurasia, Matthias Futschik, Enrico Capobianco

School of Biomedical Sciences

Abstract Background The integration of protein-protein interaction networks derived from high-throughput screening approaches and complementary sources is a key topic in systems biology. Although integration of protein interaction data is conventionally performed, the effects of this procedure on the result of network analyses has not been examined yet. In particular, in order to optimize the fusion of heterogeneous interaction datasets, it is crucial to consider not only their degree of coverage and accuracy, but also their mutual dependencies and additional salient features. Results We examined this issue based on the analysis of modules detected by network clustering methods applied to …