BCM: toolkit for Bayesian analysis of Computational Models using samplers

BACKGROUND: Computational models in biology are characterized by a large degree of uncertainty. This uncertainty can be analyzed with Bayesian statistics, however, the sampling algorithms that are frequently used for calculating Bayesian statistical estimates are computationally demanding, and each...

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Detalles Bibliográficos
Autores principales: Thijssen, Bram, Dijkstra, Tjeerd M. H., Heskes, Tom, Wessels, Lodewyk F. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073811/
https://www.ncbi.nlm.nih.gov/pubmed/27769238
http://dx.doi.org/10.1186/s12918-016-0339-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073811/
https://www.ncbi.nlm.nih.gov/pubmed/27769238
http://dx.doi.org/10.1186/s12918-016-0339-3

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