2015 | OriginalPaper | Buchkapitel
Detecting Overlapping Protein Communities in Disease Networks
verfasst von : Hassan Mahmoud, Francesco Masulli, Stefano Rovetta, Giuseppe Russo
Erschienen in: Computational Intelligence Methods for Bioinformatics and Biostatistics
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In this work we propose a novel hybrid technique for overlapping community detection in biological networks able to exploit both the available quantitative and the semantic information, that we call
Semantically Enriched Fuzzy C-Means Spectral Modularity (SE-FSM) community detection
method. We applied
SE-FSM
in analyzing Protein-protein interactions (
PPIs
) networks of
HIV-1
infection and Leukemia in Homo sapiens.
SE-FSM
found significant overlapping biological communities. In particular, it found a strong relationship between
HIV-1
and Leukemia as their communities share several significant pathways, and biological functions.