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Thesis

Noise and prediction in molecular systems

Abstract:

Living systems are inherently stochastic and operate in a noisy environment: in single cells, reactions that involve low numbers of molecules generate stochastic fluctuations that propagate to all dependent processes. Such a noise can be a disturbance, for example by disrupting cell cycle control, or could be advantageous by enabling probabilistic strategies when favourable. Unfortunately, the underlying principles behind these probabilistic phenomena are still not well understood. T...

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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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