Statistical inference of the mechanisms driving collective cell movement

Ferguson, E. A. , Matthiopoulos, J. , Insall, R. H. and Husmeier, D. (2017) Statistical inference of the mechanisms driving collective cell movement. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(4), pp. 869-890. (doi:10.1111/rssc.12203)

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Abstract

Numerous biological processes, many impacting on human health, rely on collective cell movement. We develop nine candidate models, based on advection-diffusion partial differential equations, to describe various alternative mechanisms that may drive cell movement. The parameters of these models were inferred from one-dimensional projections of laboratory observations of Dictyostelium discoideum cells by sampling from the posterior distribution using the delayed rejection adaptive Metropolis algorithm (DRAM). The best model was selected using the Widely Applicable Information Criterion (WAIC). We conclude that cell movement in our study system was driven both by a self-generated gradient in an attractant that the cells could deplete locally, and by chemical interactions between the cells.

Item Type:Articles
Keywords:advection-diffusion, self-generated gradients, collective cell movement, model selection, DRAM, WAIC.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk and FERGUSON, Elaine and Matthiopoulos, Professor Jason and Insall, Professor Robert
Authors: Ferguson, E. A., Matthiopoulos, J., Insall, R. H., and Husmeier, D.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Medical Veterinary and Life Sciences > Institute of Cancer Sciences
Journal Name:Journal of the Royal Statistical Society: Series C (Applied Statistics)
Publisher:Wiley, for the Royal Statistical Society
ISSN:0035-9254
ISSN (Online):1467-9876
Published Online:15 December 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Journal of the Royal Statistical Society: Series C (Applied Statistics) 66(4): 869-890
Publisher Policy:Reproduced under a Creative Commons License
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