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High-dimensional problems in stochastic modelling of biological processes

Abstract:

Stochastic modelling of gene regulatory networks provides an indispensable tool for understanding how random events at the molecular level influence cellular functions. A common challenge of stochastic models is to calibrate a large number of model parameters against the experimental data. Another difficulty is to study how the behaviour of a stochastic model depends on its parameters, i.e. whether a change in model parameters can lead to a significant qualitative change in model behaviour...

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Shuohao Liao More by this author

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Role:
Supervisor
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Supervisor
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Supervisor
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Grant:
239870
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Shuohao Liao
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Grant:
EP/K032208/1
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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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