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Incorporating prior knowledge improves detection of differences in bacterial growth rate
BACKGROUND: Robust statistical detection of differences in the bacterial growth rate can be challenging, particularly when dealing with small differences or noisy data. The Bayesian approach provides a consistent framework for inferring model parameters and comparing hypotheses. The method captures...
Tallennettuna:
| Julkaisussa: | BMC Syst Biol |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4578766/ https://ncbi.nlm.nih.gov/pubmed/26391452 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-015-0204-9 |
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