Chargement en cours...
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,...
Enregistré dans:
| Publié dans: | BMC Bioinformatics |
|---|---|
| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2014
|
| Sujets: | |
| Accès en ligne: | 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 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|