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Recently, we have proposed ant colony optimization (ACO) algorithm together with traveling salesman problem (TSP) approach to cluster proteins in protein interaction network (PIN). Our proposal described the general adaptation of ACO to perform the clustering tasks, including the optimal path finding in PIN. In this paper, we focus precisely on the process of finding an optimal path by ACO for the...
In this paper, we proposed an ant colony optimization (ACO) algorithm together with traveling salesman problem (TSP) approach to investigate the clustering problem in protein interaction networks (PIN). We named this combination as ACOPIN. The purpose of this work is two-fold. First, to test the efficacy of ACO in clustering PIN and second, to propose the simple generalization of the ACO algorithm...
This paper describes a process flow of data pre-processing for computational experiment in analyzing protein interaction networks. The aim of this process flow is to fulfill the requirement of our graph-based algorithm's solution and to ensure that the representation of protein interaction network which consist of nodes and edges are accurate. The raw data is obtained from one of protein interaction...
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