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Mathematical Models and Immune Cell Biology

  • Book
  • © 2011

Overview

  • Contains chapters on mathematical modelling, on immunology, and on mathematical modelling in immunology

  • Reader will also find chapters on dendritic cells, B cells and germinal centers

  • Contains a list of abbreviations to help indicate the type of research that is being carried out

  • Includes supplementary material: sn.pub/extras

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Table of contents (19 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • School of Mathematics, Dept. Applied Mathematics, University of Leeds, Leeds, United Kingdom

    Carmen Molina-ParĂ­s, Grant Lythe

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