A Study on Clustering the Protein Interaction Networks using Bio-Inspired Optimization
نویسنده
چکیده
The gist of the paper is to provide an insight about the various clustering using bio-inspired optimization for Protein Interaction Network. The major idea behind the clustering protein-protein interaction network is to identify dense sub-graphs that show significant functional modules in protein-protein interactions. A set of proteins that interact with each other are actors of a specific cellular process is termed as significant functional module which helps to recognize the structure and functional dynamics of the cell. In order to find those modules we have to cluster them based on their interaction. It is very difficult to define the boundaries among clusters and unable to identify the overlapping clusters. The bio-inspired optimization techniques are helpful in overcoming those difficulties. Keywords-Clustering, Protein Interaction Network (PIN), Ant Colony Optimization (ACO), Bacteria Foraging Optimization (BFO), Genetic Algorithm, Evolutionary Algorithm
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