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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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Division:
MPLS
Department:
Computer Science
Role:
Author

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Supervisor
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Supervisor
Engineering & Physical Sciences Research Council More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:bc962c43-1ec9-40fb-8132-4ebd658477ce
Deposit date:
2018-11-21

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