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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25448
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dc.contributor.authorScott, Erinen_UK
dc.contributor.authorNicol, Jamesen_UK
dc.contributor.authorCoulter, Jonathanen_UK
dc.contributor.authorHoyle, Andrewen_UK
dc.contributor.authorShankland, Carronen_UK
dc.contributor.editorBracciali, Aen_UK
dc.contributor.editorCaravagna, Gen_UK
dc.contributor.editorGilbert, Den_UK
dc.contributor.editorTagliaferri, Ren_UK
dc.date.accessioned2017-11-14T23:47:58Z-
dc.date.available2017-11-14T23:47:58Z-
dc.date.issued2017-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/25448-
dc.description.abstractWe present a novel Process Algebra designed for multi-scale integration modelling: Process Algebra with Layers (PAL). The unique feature of PAL is the modularisation of scale into integrated layers: Object and Population. An Object can represent a molecule, organelle, cell, tissue, organ or any organism. Populations hold specific types of Object, for example, life stages, cell phases and infectious states. The syntax and semantics of this novel language are presented. A PAL model of the multi-scale system of cell growth and damage from cancer treatment is given. This model allows the analysis of different scales of the system. The Object and Population levels give insight into the length of a cell cycle and cell population growth respectively. The PAL model results are compared to wet laboratory survival fractions of cells given different doses of radiation treatment [1]. This comparison shows how PAL can be used to aid in investigations of cancer treatment in systems biology.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationScott E, Nicol J, Coulter J, Hoyle A & Shankland C (2017) Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy. In: Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science, 10477. CIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, UK, 01.09.2016-03.09.2016. Cham, Switzerland: Springer, pp. 118-133. https://doi.org/10.1007/978-3-319-67834-4_10en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 10477en_UK
dc.rightsPublisher policy allows this work to be made available in this repository. Published In: Bracciali A., Caravagna G., Gilbert D., Tagliaferri R. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science, vol 10477. Springer, Cham. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-67834-4_10en_UK
dc.subjectSystems Biologyen_UK
dc.subjectFormal Methodsen_UK
dc.subjectMathematical Modellingen_UK
dc.subjectCell Cycleen_UK
dc.subjectDNA Damageen_UK
dc.titleProcess Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapyen_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1007/978-3-319-67834-4_10en_UK
dc.citation.issn1611-3349en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage118en_UK
dc.citation.epage133en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.author.emailces@cs.stir.ac.uken_UK
dc.citation.btitleComputational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016en_UK
dc.citation.conferencedates2016-09-01 - 2016-09-03en_UK
dc.citation.conferencelocationStirling, UKen_UK
dc.citation.conferencenameCIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatisticsen_UK
dc.citation.date17/10/2017en_UK
dc.citation.isbn9783319678337; 9783319678344en_UK
dc.citation.isbn978-3-319-67834-4en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationMathematicsen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-85032653343en_UK
dc.identifier.wtid527513en_UK
dc.contributor.orcid0000-0001-7190-1728en_UK
dc.contributor.orcid0000-0002-9117-7041en_UK
dc.contributor.orcid0000-0001-7672-2884en_UK
dc.date.accepted2017-04-28en_UK
dcterms.dateAccepted2017-04-28en_UK
dc.date.filedepositdate2017-06-02en_UK
dc.relation.funderprojectImproving patient outcome by integrating the generic with the personalen_UK
dc.relation.funderrefEP/K039342/1en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorScott, Erin|0000-0001-7190-1728en_UK
local.rioxx.authorNicol, James|en_UK
local.rioxx.authorCoulter, Jonathan|en_UK
local.rioxx.authorHoyle, Andrew|0000-0002-9117-7041en_UK
local.rioxx.authorShankland, Carron|0000-0001-7672-2884en_UK
local.rioxx.projectEP/K039342/1|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266en_UK
local.rioxx.contributorBracciali, A|en_UK
local.rioxx.contributorCaravagna, G|en_UK
local.rioxx.contributorGilbert, D|en_UK
local.rioxx.contributorTagliaferri, R|en_UK
local.rioxx.freetoreaddate2017-10-17en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2017-10-17en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2017-10-17|en_UK
local.rioxx.filenameCIBB2016.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-3-319-67834-4en_UK
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