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...

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Detalles Bibliográficos
Autores principales: Rickett, Lydia M, Pullen, Nick, Hartley, Matthew, Zipfel, Cyril, Kamoun, Sophien, Baranyi, József, Morris, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578766/
https://www.ncbi.nlm.nih.gov/pubmed/26391452
http://dx.doi.org/10.1186/s12918-015-0204-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578766/
https://www.ncbi.nlm.nih.gov/pubmed/26391452
http://dx.doi.org/10.1186/s12918-015-0204-9

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