1 / 5

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

hume
Download Presentation

Bayesian signal restoration and model determination for ion channel data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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.

More Related