John K. Heath

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In this paper we consider a model for different sorting of receptors of Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the different compartments of the cell by the ligand-receptor complex, we use the stochastic version of Bioambients. The stochastic simulation is carried out using BAM (BioAmbient(More)
The community detection in complex networks is an important problem in many scientific fields, from biology to sociology. This paper proposes a new algorithm, Differential Evolution based Community Detection (DECD), which employs a novel optimization algorithm, differential evolution (DE) for detecting communities in complex networks. DE uses network(More)
A major challenge in computational systems biology is the articulation of a biological process in a form which can be understood by the biologist yet is amenable to computational execution. Process calculi have proved to especially powerful computational tools for modelling and reasoning about biological processes and we have previously described, and(More)
In many scientific fields, from biology to sociology, community detection in complex networks has become increasingly important. This paper, for the first time, introduces Cooperative Co-evolution framework for detecting communities in complex networks. A Bias Grouping scheme is proposed to dynamically decompose a complex network into smaller subnetworks to(More)
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