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Mathematical Models and Immune Cell Biology

Mathematical Models and Immune Cell Biology by Carmen Molina-París
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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.
Springer New York; May 2011
413 pages; ISBN 9781441977250
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Title: Mathematical Models and Immune Cell Biology
Author: Carmen Molina-París; Grant Lythe
 
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