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Conference Proceeding

Investigating co-infection dynamics through evolution of Bio-PEPA model parameters: a combined process algebra and evolutionary computing approach

Citation
Marco D, Scott E, Cairns D, Graham A, Allen JE, Mahajan SM & Shankland C (2012) Investigating co-infection dynamics through evolution of Bio-PEPA model parameters: a combined process algebra and evolutionary computing approach. In: Gilbert D & Heiner M (eds.) Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012. Proceedings. Lecture Notes in Computer Science, 7605. The 10th Conference on Computational Methods in Systems Biology, CMSB 2012, London, UK, 03.10.2012-05.10.2012. Berlin Heidelberg: Springer-Verlag, pp. 227-246. http://sites.brunel.ac.uk/cmsb2012; https://doi.org/10.1007/978-3-642-33636-2_14

Abstract
Process algebras are an effective method for defining models of complex interacting biological processes, but defining a model requires expertise from both modeller and domain expert. In addition, even with the right model, tuning parameters to allow model outputs to match experimental data can be difficult. This is the well-known parameter fitting problem. Evolutionary algorithms provide effective methods for finding solutions to optimisation problems with large search spaces and are well suited to investigating parameter fitting problems. We present the Evolving Process Algebra (EPA) framework which combines an evolutionary computation approach with process algebra modelling to produce parameter distribution data that provides insight into the parameter space of the biological system under investigation. The EPA framework is demonstrated through application to a novel example: T helper cell activation in the immune system in the presence of co-infection.

StatusPublished
Author(s)Marco, David; Scott, Erin; Cairns, David; Graham, Andrea; Allen, Judith E; Mahajan, Simmi M; Shankland, Carron
FundersThe Carnegie Trust
Title of seriesLecture Notes in Computer Science
Number in series7605
Publication date31/12/2012
Publication date online31/10/2012
URLhttp://hdl.handle.net/1893/22206
Related URLshttp://sites.brunel.ac.uk/cmsb2012
PublisherSpringer-Verlag
Publisher URLhttp://sites.brunel.ac.uk/cmsb2012
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-642-33636-2
ConferenceThe 10th Conference on Computational Methods in Systems Biology, CMSB 2012
Conference locationLondon, UK
Dates
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