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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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| Publicado no: | BMC Syst Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5073811/ https://ncbi.nlm.nih.gov/pubmed/27769238 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-016-0339-3 |
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