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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...
Tallennettuna:
| Julkaisussa: | BMC Syst Biol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | 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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