Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/22114
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DC Field | Value | Language |
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dc.contributor.author | Lintott, Rachel | en_UK |
dc.contributor.author | McMahon, Stephen | en_UK |
dc.contributor.author | Prise, Kevin | en_UK |
dc.contributor.author | Addie-Lagorio, Celine | en_UK |
dc.contributor.author | Shankland, Carron | en_UK |
dc.contributor.editor | Mendes, P | en_UK |
dc.contributor.editor | Dada, JO | en_UK |
dc.contributor.editor | Smallbone, K | en_UK |
dc.date.accessioned | 2016-12-01T23:42:38Z | - |
dc.date.available | 2016-12-01T23:42:38Z | - |
dc.date.issued | 2014 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/22114 | - |
dc.description.abstract | Radiation induced bystander effects are secondary effects caused by the production of chemical signals by cells in response to radiation. We present a Bio-PEPA model which builds on previous modelling work in this field to predict: the surviving fraction of cells in response to radiation, the relative proportion of cell death caused by bystander signalling, the risk of non-lethal damage and the probability of observing bystander signalling for a given dose. This work provides the foundation for modelling bystander effects caused by biologically realistic dose distributions, with implications for cancer therapies. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | Springer International Publishing | en_UK |
dc.relation | Lintott R, McMahon S, Prise K, Addie-Lagorio C & Shankland C (2014) Using process algebra to model radiation induced bystander effects. In: Mendes P, Dada J & Smallbone K (eds.) Computational Methods in Systems Biology: 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings. Lecture Notes in Computer Science, 8859. Computational Methods in Systems Biology 2014, Manchester, UK, 17.11.2014-19.11.2014. Cham, Switzerland: Springer International Publishing, pp. 196-210. https://doi.org/10.1007/978-3-319-12982-2_14 | en_UK |
dc.relation.ispartofseries | Lecture Notes in Computer Science, 8859 | en_UK |
dc.rights | Publisher policy allows this work to be made available in this repository; The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-12982-2_14 | en_UK |
dc.title | Using process algebra to model radiation induced bystander effects | en_UK |
dc.type | Conference Paper | en_UK |
dc.identifier.doi | 10.1007/978-3-319-12982-2_14 | en_UK |
dc.citation.issn | 0302-9743 | en_UK |
dc.citation.spage | 196 | en_UK |
dc.citation.epage | 210 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.contributor.funder | Engineering and Physical Sciences Research Council | en_UK |
dc.author.email | carron.shankland@stir.ac.uk | en_UK |
dc.citation.btitle | Computational Methods in Systems Biology: 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings | en_UK |
dc.citation.conferencedates | 2014-11-17 - 2014-11-19 | en_UK |
dc.citation.conferencelocation | Manchester, UK | en_UK |
dc.citation.conferencename | Computational Methods in Systems Biology 2014 | en_UK |
dc.citation.date | 30/11/2014 | en_UK |
dc.citation.isbn | 978-3-319-12981-5 | en_UK |
dc.publisher.address | Cham, Switzerland | en_UK |
dc.contributor.affiliation | Computing Science | en_UK |
dc.contributor.affiliation | Queen's University Belfast | en_UK |
dc.contributor.affiliation | Queen's University Belfast | en_UK |
dc.contributor.affiliation | University of Stirling | en_UK |
dc.contributor.affiliation | Computing Science | en_UK |
dc.identifier.scopusid | 2-s2.0-84910115909 | en_UK |
dc.identifier.wtid | 592973 | en_UK |
dc.contributor.orcid | 0000-0001-7672-2884 | en_UK |
dcterms.dateAccepted | 2014-11-30 | en_UK |
dc.date.filedepositdate | 2015-08-13 | en_UK |
dc.relation.funderproject | Improving patient outcome by integrating the generic with the personal | en_UK |
dc.relation.funderref | EP/K039342/1 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Lintott, Rachel| | en_UK |
local.rioxx.author | McMahon, Stephen| | en_UK |
local.rioxx.author | Prise, Kevin| | en_UK |
local.rioxx.author | Addie-Lagorio, Celine| | en_UK |
local.rioxx.author | Shankland, Carron|0000-0001-7672-2884 | en_UK |
local.rioxx.project | EP/K039342/1|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266 | en_UK |
local.rioxx.contributor | Mendes, P| | en_UK |
local.rioxx.contributor | Dada, JO| | en_UK |
local.rioxx.contributor | Smallbone, K| | en_UK |
local.rioxx.freetoreaddate | 2015-08-13 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/all-rights-reserved|2015-08-13| | en_UK |
local.rioxx.filename | CSMBpaper.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 978-3-319-12981-5 | en_UK |
Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
Files in This Item:
File | Description | Size | Format | |
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CSMBpaper.pdf | Fulltext - Accepted Version | 305.81 kB | Adobe PDF | View/Open |
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