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Bayesian signal restoration and model determination for ion channel data

Bayesian signal restoration and model determination for ion channel data. Matthew Hodgson and Peter Green. Ion channels. Large proteins spanning cell membranes: key to nerve function Move between finite number of physicochemically distinct states

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Bayesian signal restoration and model determination for ion channel data

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  1. Bayesian signal restoration and model determination for ion channel data Matthew Hodgson and Peter Green

  2. Ion channels • Large proteins spanning cell membranes: key to nerve function • Move between finite number of physicochemically distinct states • States partitioned into classes with the same conductance (often, 2 classes: open and closed)

  3. Ion channel data • Observations on single ion channels possible by patch-clamp recording • Measurements of conductance degraded by noise and filtering prior to discretisation • Conventional signal restoration algorithm: thresholding, followed by deletion of short sojourn times

  4. Ion channels • Large proteins spanning cell membranes, with finite number of physicochemically distinct states • States partitioned into classes with the same conductance (often, 2 classes: open and closed) • Transitions between states often assumed to follow a Continuous Time Markov chain

  5. Further details • Hodgson, MEA (1999) J. Roy. Statist. Soc. B, 61, 95-114. • Hodgson, MEA and Green, PJ (1999) Proc. R. Soc. Lond. A, 455, 3425-3448. • Hodgson, MEA (2002) J. Nonpar. Stats., 14, 133-139.

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