ArticleBMC bioinformatics2013
Analytical results on the Beauchemin model of lymphocyte migration.
Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- CelltrackR: An R package for fast and flexible analysis of immune cell migration data.Immunoinformatics (Amsterdam, Netherlands) · 2021Article
- Zigzag Generalized Lévy Walk: the In Vivo Search Strategy of Immunocytes.Theranostics · 2015Article
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Authors and funding
3 authors.
Funding
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Abstract
The Beauchemin model is a simple particle-based description of stochastic lymphocyte migration in tissue, which has been successfully applied to studying immunological questions. In addition to being easy to implement, the model is also to a large extent mathematically tractable. This article provides a comprehensive overview of both existing and new analytical results on the Beauchemin model within a common mathematical framework. Specifically, we derive the motility coefficient, the mean square displacement, and the confinement ratio, and discuss four different methods for simulating biased migration of pre-defined speed. The results provide new insight into published studies and a reference point for future research based on this simple and popular lymphocyte migration model.
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