Model selection and parameter estimation for ion channel recordings with an application to the K+ outward-rectifier in barley leaf.
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(+) outward-rectifier in barley leaf.
Department of Mathematics, Faculty of Exact Sciences, Free University, Amsterdam, The Netherlands. degunst@cs.vu.nl
M C M
MC
de Gunst
J G
JG
Schouten
D000465:Algorithms; D001699:Biometry; D001467:Hordeum / Q000378:metabolism*; D008390:Markov Chains; D008433:Mathematics; D008954:Models, Biological; D015233:Models, Statistical; D009010:Monte Carlo Method; D018515:Plant Leaves / Q000378:metabolism; D015221:Potassium Channels / Q000378:metabolism*
D015221:Potassium Channels