Mathematical Models and Immune Cell Biology
ISBN: 9781441977250
Platform/Publisher: SpringerLink / Springer New York
Digital rights: Users: unlimited; Printing: unlimited; Download: unlimited
Subjects: Biomedical and Life Sciences;

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.


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