Skip to main content

Statistical inference of the mechanisms driving collective cell movement

Buy Article:

$43.00 plus tax (Refund Policy)

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. The best model was selected by using the widely applicable information criterion. 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.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Advection–diffusion; Collective cell movement; Delayed rejection adaptive Metropolis algorithm; Model selection; Self‐generated gradients; Widely applicable information criterion

Document Type: Research Article

Publication date: 2017-08-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more