title: Dizzy-Beats: a Bayesian evidence analysis tool for systems biology.
abstract: BACKGROUND
  Model selection and parameter inference are complex problems of long-standing interest in systems biology. Selecting between competing models arises commonly as underlying biochemical mechanisms are often not fully known, hence alternative models must be considered. Parameter inference yields important information on the extent to which the data and the model constrain parameter values.
  
  
  RESULTS
  We report Dizzy-Beats, a graphical Java Bayesian evidence analysis tool implementing nested sampling - an algorithm yielding an estimate of the log of the Bayesian evidence Z and the moments of model parameters, thus addressing two outstanding challenges in systems modelling. A likelihood function based on the L1-norm is adopted as it is generically applicable to replicated time series data.
  
  
  METHODS
  http://sourceforge.net/p/bayesevidence/home/Home/.
authors: MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh EH4 2XU, UK, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK, Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA, Centre for Systems, Dynamics and Control, College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.
authors: Stuart
authors: S
authors: Aitken
authors: MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh EH4 2XU, UK, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK, Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA, Centre for Systems, Dynamics and Control, College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter EX4 4QF, UK MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh EH4 2XU, UK, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK, Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA, Centre for Systems, Dynamics and Control, College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.
authors: Alastair M
authors: AM
authors: Kilpatrick
authors: MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh EH4 2XU, UK, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK, Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA, Centre for Systems, Dynamics and Control, College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.
authors: Ozgur E
authors: OE
authors: Akman
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D016013:Likelihood Functions; D008954:Models, Biological; D012984:Software; D049490:Systems Biology
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