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Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density

BACKGROUND: Mathematical modeling is an important tool in systems biology to study the dynamic property of complex biological systems. However, one of the major challenges in systems biology is how to infer unknown parameters in mathematical models based on the experimental data sets, in particular,...

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Bibliografske podrobnosti
izdano v:BMC Bioinformatics
Main Authors: Wu, Qianqian, Smith-Miles, Kate, Tian, Tianhai
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2014
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4243104/
https://ncbi.nlm.nih.gov/pubmed/25473744
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-S12-S3
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