Mathematical Models and Immune Cell Biology

Molina-París, Carmen; Lythe, Grant

Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.

Details

Published by: Springer

Publication Date: 2014-10-10

Format: Paperback

ISBN-13: 9781493901234

DOI: 10.1007/978-1-4419-7725-0

Dimensions: 235cm x155cm

Pages: 407