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PyDREAM: high-dimensional parameter inference for biological models in python
SUMMARY: Biological models contain many parameters whose values are difficult to measure directly via experimentation and therefore require calibration against experimental data. Markov chain Monte Carlo (MCMC) methods are suitable to estimate multivariate posterior model parameter distributions, bu...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860607/ https://ncbi.nlm.nih.gov/pubmed/29028896 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx626 |
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