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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Ion Channels
Barley
ion channels
Hordeum
Model Selection
Parameter estimation
Parameter Estimation
Leaves
barley
Colored Noise
Noise
Ions
Ion Channel Gating
White noise
Hidden Markov models
Markov Chain Monte Carlo
Bayesian Approach
Statistical method
Markov processes
Markov Model

Cite this

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Model selection and parameter estimation for ion channel recordings with an application to the K+ outward-rectifier in barley leaf. / de Gunst, M.C.M.; Schouten, J.G.

In: Journal of Mathematical Biology, Vol. 50, No. 3, 2005, p. 233-256.

Research output: Contribution to JournalArticleAcademicpeer-review

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