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Mathematical Models and Immune Cell Biology - Molina-París, Carmen (Editor), and Lythe, Grant (Editor)
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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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Mathematical Models and Immune Cell Biology 2014, Springer, New York, NY

ISBN-13: 9781493901234

2011 edition

Trade paperback

Mathematical Models and Immune Cell Biology 2011, Springer, New York, NY

ISBN-13: 9781441977243

Hardcover