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Category Archives: Stats and Inference
Our new review on fitting cardiac models
A reasonably short post to let you know about our recently published paper in WIREs Systems Biology and Medicine on parameter fitting in cardiac ion channel and action potential models with David Christini. There is an accessible introductory news article … Continue reading
Job Available: Statistical inference for mechanistic models
N.B. Applications for this position are now closed. We are offering a 3 year position as a research fellow in statistical inference for mechanistic models. This is offered at either Postdoc or Senior postdoc level (equivalent grade to Assistant Professor) … Continue reading
Posted in Action Potential Models, Drug action, Experimental Design, Ion Channel Models, Model Development, Numerics, Stats and Inference
Tagged Bayesian Inference, calibration, identifiability, inference, inverse problem, job, jobs, model complexity, model construction, model discrepancy, model selection, parameter fitting, validation
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Three potassium channel modelling papers
Just a quick note to tell you about our latest batch of papers in the “Heart By Numbers” special issue of Biophysical Journal which arose from a meeting in Berlin last year. They are all about IKr, the rapid-delayed rectifying … Continue reading
Job Available: Research Software Engineer
Edit: please note the deadline for applications has now passed. Here’s a great opportunity to join our team at the University of Nottingham on a 5 year Research Software Engineering (RSE) position: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/IS046219 The deadline for applications is 3rd March … Continue reading
Postdoctoral Research Positions Available
N.B. 16th Jan 2019 – the applications for these positions are now closed. This post is to let people know about some opportunities for postdoctoral research here in the Centre for Mathematical Medicine & Biology, based in Mathematical Sciences, University … Continue reading
Numerical errors from ODE solvers can mess up optimisation and inference very easily
(Subtitle: “when you’ve got a lot of data points!”) This post is for people interested in doing optimisation or inference with Differential Equation (DE) models. If you are a statistician, you might be used to treating model simulators as black … Continue reading
Short and rich voltage-clamp protocols
This is a quick post to tell you all about Kylie’s new paper on sinusoidal-wave based voltage clamp protocols that has been published in the Journal of Physiology, and there’s an associated commentary from Ele Grandi. In the paper, some … Continue reading
Posted in Experimental Design, Future developments, Ion Channel Models, Model Development, Stats and Inference
Tagged Bayesian Inference, Cardiac electrophysiology, hERG, identifiability, IKr, inference, inverse problem, ion channel, model, model construction, parameter fitting, parameterisation, validation
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Postdoc position available
N.B. This position is now closed. Another short post, just to advertise a postdoctoral research associate (PDRA) position available to work with me. It’s a two year position, based at the Centre for Mathematical Medicine & Biology at the University … Continue reading
Uncertainty quantification for ion channel screening and risk prediction
This post accompanies our new paper in Wellcome Open Research. Regular readers of this blog will know that I worry about uncertainty in the numbers we are using to model drug action on electrophysiology quite a lot – see our … Continue reading
Should I work with IC50s or pIC50s?
When you are expressing how much a drug inhibits something, it’s common to fit a Hill curve through a graph of concentration against % inhibition as shown here: In our case this is often ‘% inhibition’ for a given ionic … Continue reading