Lecture notes on stochastic models in systems
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Latest content Lecture notes on stochastic models in systems
These notes provide a short, focused introduction to modelling stochastic gene expression, including a derivation of the master equation, the recovery of deterministic dynamics, birth-and-death processes, and Langevin theory. The notes were last updated around 2010 and written for lectures given at summer schools held at McGill University’s Centre for Non-linear Dynamics in 2004, 2006, and 2008.
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Lecture notes on stochastic models in systems•Lecture notes on stochastic models in systems
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These notes provide a short, focused introduction to modelling stochastic gene expression, including a derivation of the master equation, the recovery of deterministic dynamics, birth-and-death processes, and Langevin theory. The notes were last updated around 2010 and written for lectures given at summer schools held at McGill University’s Centre for Non-linear Dynamics in 2004, 2006, and 2008.
These notes provide a short, focused introduction to modelling stochastic gene expression, including a derivation of the master equation, the recovery of deterministic dynamics, birth-and-death processes, and Langevin theory. The notes were last updated around 2010 and written for lectures given at summer schools held at McGill University’s Centre for Non-linear Dynamics in 2004, 2006, and 2008.
- Class notes
- • 23 pages's •
-
Lecture notes on stochastic models in systems•Lecture notes on stochastic models in systems
Preview 3 out of 23 pages
Getting your document ready...
These notes provide a short, focused introduction to modelling stochastic gene expression, including a derivation of the master equation, the recovery of deterministic dynamics, birth-and-death processes, and Langevin theory. The notes were last updated around 2010 and written for lectures given at summer schools held at McGill University’s Centre for Non-linear Dynamics in 2004, 2006, and 2008.