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A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium
Our work addresses two key challenges, one biological and one methodological. First, we aim to understand how proliferation and cell migration rates in the intestinal epithelium are related under healthy, damaged (Ara-C treated) and recovering conditions, and how these relations can be used to ident...
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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5550005/ https://ncbi.nlm.nih.gov/pubmed/28753601 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005688 |
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