Summary
A continuous-time Markov chain model consisting of four positional and directional states is used to predict the eventual relative positioning of two motile cell types. It is assumed that the period of observation is small in comparison with the generation time of both cell types. The method is useful in predicting developmental phenomena and is applicable to complex patterns involving more than two types of cells.
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This research was supported by a grant from the National Research Council of Canada. Grant No. A 9072.
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Boyarsky, A. Pattern prediction for moving cells. J. Math. Biology 4, 35–47 (1977). https://doi.org/10.1007/BF00276351
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DOI: https://doi.org/10.1007/BF00276351