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An efficient moments-based inference method for within-host bacterial infection dynamics
Over the last ten years, isogenic tagging (IT) has revolutionised the study of bacterial infection dynamics in laboratory animal models. However, quantitative analysis of IT data has been hindered by the piecemeal development of relevant statistical models. The most promising approach relies on stoc...
Tallennettuna:
| Julkaisussa: | PLoS Comput Biol |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5714343/ https://ncbi.nlm.nih.gov/pubmed/29155811 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005841 |
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