Abstract
In this paper we describe a Multi-Agent framework to model the dynamics of self-renewing and differentiating stem cells. Our model is extended to an effective stochastic simulator of 5-bromo-2-deoxyuridine (BrdU) uptake and loss on different detection thresholds. Matching the results of an existing BrdU model validates our effort. Additionally our Multi-Agent approach enables much more statistically rich analysis and provides a modelling platform stem cell scientists can easily understand and relate to.
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van der Wath, R.C., Liò, P. (2008). A Stochastic Multi-agent Model of Stem Cell Proliferation. In: Umeo, H., Morishita, S., Nishinari, K., Komatsuzaki, T., Bandini, S. (eds) Cellular Automata. ACRI 2008. Lecture Notes in Computer Science, vol 5191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79992-4_65
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DOI: https://doi.org/10.1007/978-3-540-79992-4_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79991-7
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