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Mathematical Models and Immune Cell Biology

Mathematical Models and Immune Cell Biology

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Springer Nature
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N/A
Part Number
0
GTIN
9781441977243
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New
Product Description

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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