Model selection and parameter estimation for ion channel recordings with an application to the K+ outward-rectifier in barley leaf

M.C.M. de Gunst, J.G. Schouten

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We present a statistical method, and its accompanying algorithms, for the selection of a mathematical model of the gating mechanism of an ion channel and for the estimation of the parameters of this model. The method assumes a hidden Markov model that incorporates filtering, colored noise and state-dependent white excess noise for the recorded data. The model selection and parameter estimation are performed via a Bayesian approach using Markov chain Monte Carlo. The method is illustrated by its application to single-channel recordings of the K
Original languageEnglish
Pages (from-to)233-256
JournalJournal of Mathematical Biology
Volume50
Issue number3
DOIs
Publication statusPublished - 2005

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