Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22206
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dc.contributor.authorMarco, Daviden_UK
dc.contributor.authorScott, Erinen_UK
dc.contributor.authorCairns, Daviden_UK
dc.contributor.authorGraham, Andreaen_UK
dc.contributor.authorAllen, Judith Een_UK
dc.contributor.authorMahajan, Simmi Men_UK
dc.contributor.authorShankland, Carronen_UK
dc.contributor.editorGilbert, Den_UK
dc.contributor.editorHeiner, Men_UK
dc.date.accessioned2017-03-16T23:15:47Z-
dc.date.available2017-03-16T23:15:47Z-
dc.date.issued2012en_UK
dc.identifier.urihttp://hdl.handle.net/1893/22206-
dc.description.abstractProcess 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.en_UK
dc.language.isoenen_UK
dc.publisherSpringer-Verlagen_UK
dc.relationMarco 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_14en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 7605en_UK
dc.relation.urihttp://sites.brunel.ac.uk/cmsb2012en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.titleInvestigating co-infection dynamics through evolution of Bio-PEPA model parameters: a combined process algebra and evolutionary computing approachen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate3000-10-01en_UK
dc.rights.embargoreason[2012paper.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/978-3-642-33636-2_14en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage227en_UK
dc.citation.epage246en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderThe Carnegie Trusten_UK
dc.identifier.urlhttp://sites.brunel.ac.uk/cmsb2012en_UK
dc.author.emailces@cs.stir.ac.uken_UK
dc.citation.btitleComputational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012. Proceedingsen_UK
dc.citation.conferencedates2012-10-03 - 2012-10-05en_UK
dc.citation.conferencelocationLondon, UKen_UK
dc.citation.conferencenameThe 10th Conference on Computational Methods in Systems Biology, CMSB 2012en_UK
dc.citation.date31/10/2012en_UK
dc.citation.isbn978-3-642-33636-2en_UK
dc.publisher.addressBerlin Heidelbergen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationPrinceton Universityen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-84867883579en_UK
dc.identifier.wtid757772en_UK
dc.contributor.orcid0000-0001-7190-1728en_UK
dc.contributor.orcid0000-0002-0246-3821en_UK
dc.contributor.orcid0000-0001-7672-2884en_UK
dcterms.dateAccepted2012-10-31en_UK
dc.date.filedepositdate2015-09-03en_UK
dc.relation.funderprojectImmunological effects: modelling cytokine interaction in co-infectionen_UK
dc.relation.funderrefAndrew Milleren_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMarco, David|en_UK
local.rioxx.authorScott, Erin|0000-0001-7190-1728en_UK
local.rioxx.authorCairns, David|0000-0002-0246-3821en_UK
local.rioxx.authorGraham, Andrea|en_UK
local.rioxx.authorAllen, Judith E|en_UK
local.rioxx.authorMahajan, Simmi M|en_UK
local.rioxx.authorShankland, Carron|0000-0001-7672-2884en_UK
local.rioxx.projectAndrew Miller|The Carnegie Trust|en_UK
local.rioxx.contributorGilbert, D|en_UK
local.rioxx.contributorHeiner, M|en_UK
local.rioxx.freetoreaddate3000-10-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filename2012paper.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-3-642-33636-2en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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