Stochastic modelling of biochemical networks and inference of modelparameters

2018-01-01
Purutçuoğlu Gazi, Vilda
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There are many approaches to model the biochemical systems deterministically or stochastically. In deterministic approaches, we aim to describe the steady-state behaviours of the system, whereas, under stochastic models, we present the random nature of the system, for instance, during transcription or translation processes. Here, we represent the stochastic modelling approaches of biological networks and explain in details the inference of the model parameters within the Bayesian framework.
Stochastic modelling, Bayesian inference, Diffusion bridge method, Particle filtering method
https://hdl.handle.net/11511/84413
Department of Statistics, Book / Book chapter

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Citation Formats
V. Purutçuoğlu Gazi, Stochastic modelling of biochemical networks and inference of modelparameters. 2018, p. 385.
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