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Thesis

Spatial stochastic modelling of biological processes

Abstract:

Computational simulation of cellular processes can provide us with important insights into the dynamics of a cell. In particular, stochastic simulation has proven to be an invaluable tool for modelling sub-cellular environments, due to the intrinsic noise of not knowing when reactions will occur in a cell and which molecules will react. This uncertainty is amplified when there are limited numbers of molecules within a cell, as the probability of reactions occurring becomes small.

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Role:
Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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