Background Identifying protein complexes from protein-protein interaction (PPI) network is
one of the most important tasks in proteomics. Existing computational methods try to …

Objective: Burkitt's lymphoma (BL) is a highly aggressive malignant lymphoma, its molecular
biological mechanism has not been fully investigated. The construction of protein-protein …

This chapter reviews different kinds of biological data where clustering has provided
promising and biologically meaningful results. It discusses the role of clustering for gene …

Background Statistical validation of predicted complexes is a fundamental issue in
proteomics and bioinformatics. The target is to measure the statistical significance of each …

We provide computational protocols to identify chaperone interacting proteins using a
combination of both physical (protein–protein) and genetic (gene–gene or epistatic) …

Background: Statistical validation of predicted complexes is a fundamental issue in
proteomics and bioinformatics. The target is to measure the statistical significance of each …

Recently, protein–protein interaction data has been generated by high-throughput
experiments on a genomic scale and for several organisms, these data has been …

Parkinson's Disease (PD) is the second most common neurodegenerative disease in the
Western world. It shows a high degree of genetic and phenotypic complexity with many …

Grazie al miglioramento delle tecnologie omiche sempre più attenzione è rivolta alla
valutazione dei sistemi biologici attraverso approcci basati sulla teoria dei grafi. In questo …

Molecular networks are commonly used to explore cellular organisation and disease
mechanisms. Function is studied using molecular interaction networks, such as protein …