Загрузка...
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
Computational systems biology is concerned with the development of detailed mechanistic models of biological processes. Such models are often stochastic and analytically intractable, containing uncertain parameters that must be estimated from time course data. In this article, we consider the task o...
Сохранить в:
| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
The Royal Society
2011
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3262293/ https://ncbi.nlm.nih.gov/pubmed/23226583 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsfs.2011.0047 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|