Research paper

MCMC estimation of Markov models for ion channels.

View original item

About this item

Title
MCMC estimation of Markov models for ion channels.
Content partner
The University of Auckland Library
Collection
ResearchSpace@Auckland
Description

Ion channels are characterized by inherently stochastic behavior which can be represented by continuous-time Markov models (CTMM). Although methods for collecting data from single ion channels are available, translating a time series of open and closed channels to a CTMM remains a challenge. Bayesian statistics combined with Markov chain Monte Carlo (MCMC) sampling provide means for estimating the rate constants of a CTMM directly from single channel data. In this article, different approache...

Format
Research paper
Research format
Journal article
Date created
2011-04-20
Creator
Siekmann, Ivo / Wagner, LE / Yule, D / Fox, C / Bryant, D / Crampin, Edmund / Sneyd, A
URL
http://hdl.handle.net/2292/11986
Related subjects
Algorithms / Bayes Theorem / Inositol 1,4,5-Trisphosphate Receptors / Ion Channel Gating / Ion Channels / Likelihood Functions / Markov Chains / Models, Biological / Monte Carlo Method

What can I do with this item?

Check copyright status and what you can do with this item

Check information

Report this item

If you believe this item breaches our terms of use please report this item

Report this item

DigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 09 May 2012, and updated 12 April 2024.
Learn more about how we work.

Share

What can I do with this item?

You must always check with The University of Auckland Library to confirm the specific terms of use, but this is our understanding:

Research icon

Non-infringing use

NZ Copyright law does not prevent every use of a copyright work. You should consider what you can and cannot do with a copyright work.

NZ Copyright law does not prevent every use of a copyright work. You should consider what you can and cannot do with a copyright work.

No sharing icon

No sharing

You may not copy and/or share this item with others without further permission. This includes posting it on your blog, using it in a presentation, or any other public use.

You may not copy and/or share this item with others without further permission. This includes posting it on your blog, using it in a presentation, or any other public use.

No modifying icon

No modifying

You are not allowed to adapt or remix this item into any other works.

You are not allowed to adapt or remix this item into any other works.

No commercial use icon

No commercial use

You may not use this item commercially.

You may not use this item commercially.

View original item

What can I do with this item?

Check copyright status and what you can do with this item

Check information

Report this item

If you believe this item breaches our terms of use please report this item

Report this item

DigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 09 May 2012, and updated 12 April 2024.
Learn more about how we work.

Share

Related items

Loading...