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dc.contributor.authorWeyland, Mathias-
dc.contributor.authorThumser-Henner, Pauline-
dc.contributor.authorRohrer Bley, Carla-
dc.contributor.authorUlzega, Simone-
dc.contributor.authorPetri-Fink, Alke-
dc.contributor.authorLattuada, Marco-
dc.contributor.authorScheidegger, Stephan-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.date.accessioned2019-01-24T13:24:35Z-
dc.date.available2019-01-24T13:24:35Z-
dc.date.issued2018-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/14623-
dc.descriptionOral presentationde_CH
dc.description.abstractIn this work, a method is presented to map a set of experimentally obtained, time-resolved distributions to a dynamic model. Specifically, time-resolved comet assay readouts of cancer cells after application of ionizing radiation are mapped to the Multi-Hit-Repair model, a radiobiologically motivated dynamic model used to predict DNA damage and repair. Differential evolution is used for parameter-search to showcase the potential of this method, producing a prediction close to the experimental measurement. The results obtained from the parameter search are used to characterize aspects of the repair process. The method is compared to prior attempts of finding model parameters from dose-response curves, revealing that calibration is required to render the two comparable.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc572: Biochemiede_CH
dc.titleDynamic DNA damage and repair modeling : bridging the gap between experimental damage readout and model structurede_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.conference.detailsXIII International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Parma, Italy, 10-12 September 2018de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.webfeedBiomedical Simulationde_CH
zhaw.funding.zhawPhantom- and Model-based Optimisation of Medical Imaging Modalitiesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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