Stochastic modelling of biochemical networks and inference of modelparameters

2018-01-01
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.
Citation Formats
V. Purutçuoğlu Gazi, Stochastic modelling of biochemical networks and inference of modelparameters. 2018, p. 385.