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2018 | OriginalPaper | Chapter

Stochastic Modelling of Biochemical Networks and Inference of Model Parameters

Author : Vilda Purutçuoğlu

Published in: Modeling, Dynamics, Optimization and Bioeconomics III

Publisher: Springer International Publishing

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Abstract

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.

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Metadata
Title
Stochastic Modelling of Biochemical Networks and Inference of Model Parameters
Author
Vilda Purutçuoğlu
Copyright Year
2018
Book
Modeling, Dynamics, Optimization and Bioeconomics III

Print ISBN: 978-3-319-74085-0

Electronic ISBN: 978-3-319-74086-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-74086-7_18