Mathematical Models and Immune Cell Biology - Carmen Molina-París

Mathematical Models and Immune Cell Biology

By: Carmen Molina-París (Editor), Grant Lythe (Editor)

Hardcover | 6 May 2011

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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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