Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/1471-2105-14-S6-S10 | BMC Bioinformatics |
Keywords | Field | DocType |
microarrays,chemotaxis,algorithms,bioinformatics | Cell movement,Computer science,Random walk,Bioinformatics | Journal |
Volume | Issue | ISSN |
14 Suppl 6 | S-6 | 1471-2105 |
Citations | PageRank | References |
6 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Textor | 1 | 72 | 9.97 |
| Mathieu Sinn | 2 | 55 | 10.41 |
| Rob J de Boer | 3 | 47 | 12.37 |