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dc.contributor.authorJohnson, Roberten
dc.contributor.authorKirk, Paulen
dc.contributor.authorStumpf, Michael PHen
dc.date.accessioned2018-07-16T11:20:56Z
dc.date.available2018-07-16T11:20:56Z
dc.date.issued2015-02en
dc.identifier.issn1367-4803
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/278120
dc.description.abstractMOTIVATION: Model selection is a fundamental part of the scientific process in systems biology. Given a set of competing hypotheses, we routinely wish to choose the one that best explains the observed data. In the Bayesian framework, models are compared via Bayes factors (the ratio of evidences), where a model's evidence is the support given to the model by the data. A parallel interest is inferring the distribution of the parameters that define a model. Nested sampling is a method for the computation of a model's evidence and the generation of samples from the posterior parameter distribution. RESULTS: We present a C-based, GPU-accelerated implementation of nested sampling that is designed for biological applications. The algorithm follows a standard routine with optional extensions and additional features. We provide a number of methods for sampling from the prior subject to a likelihood constraint. AVAILABILITY AND IMPLEMENTATION: The software SYSBIONS is available from http://www.theosysbio.bio.ic.ac.uk/resources/sysbions/ CONTACT: m.stumpf@imperial.ac.uk, robert.johnson11@imperial.ac.uk.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectProbabilityen
dc.subjectBayes Theoremen
dc.subjectSystems Biologyen
dc.subjectAlgorithmsen
dc.subjectModels, Biologicalen
dc.subjectSoftwareen
dc.titleSYSBIONS: nested sampling for systems biology.en
dc.typeArticle
prism.endingPage605
prism.issueIdentifier4en
prism.publicationDate2015en
prism.publicationNameBioinformatics (Oxford, England)en
prism.startingPage604
prism.volume31en
dc.identifier.doi10.17863/CAM.25459
dcterms.dateAccepted2014-10-03en
rioxxterms.versionofrecord10.1093/bioinformatics/btu675en
rioxxterms.versionVoR*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2015-02en
dc.contributor.orcidKirk, Paul [0000-0002-5931-7489]
dc.contributor.orcidStumpf, Michael PH [0000-0002-3577-1222]
dc.identifier.eissn1367-4811
rioxxterms.typeJournal Article/Reviewen
cam.orpheus.successThu Jan 30 12:58:16 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International