The use of delays in modelling and simulation of biochemical reaction systems and exact model reduction
Duration: 53 mins 40 secs
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About this item
| Description: |
Leier, A
Tuesday 26th April 2016 - 15:00 to 16:00 |
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| Created: | 2016-05-12 12:53 |
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| Collection: | Stochastic Dynamical Systems in Biology: Numerical Methods and Applications |
| Publisher: | Isaac Newton Institute |
| Copyright: | Leier, A |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Delay differential equations have become an integral part of mathematical modelling, in particular when representing biological processes such as population dynamics, epidemiology, or gene regulation and cell signalling. With increased interest in stochastic dynamics, delays have also been introduced into stochastic simulation algorithms.
In my talk I will review such developments over the last ten years, introduce the Delay Chemical Master Equation (DCME), show examples of when the DCME can be solved exactly, and discuss recent developments in the use of delays in model reduction of chemical reaction systems and incorporation of spatial aspects into purely temporal models |
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