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A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium

Abstract:

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 identify mechanisms of repair and regeneration. We analyse new data, presented in more detail in a companion paper, in which BrdU/IdU cell-labelling experiments were performed under these respective con...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pcbi.1005688

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Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
13
Issue:
7
Pages:
e1005688
Publication date:
2017-07-28
Acceptance date:
2017-07-18
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:709376
URN:
uri:003fbdb8-1f29-4379-92a3-d9a7237aff0b
UUID:
uuid:003fbdb8-1f29-4379-92a3-d9a7237aff0b
Local pid:
pubs:709376

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