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Mathematical Models and Immune Cell Biology

Molina-Paris, Carmen
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Pricing & Availability
Available: Yes*
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Book Information
Edition: 1st
Publisher: Springer Nature
ISBN: 1-4419-7725-2 (1441977252)
ISBN-13: 978-1-4419-7725-0 (9781441977250)
Binding: E E Book + ProQuest Ebook Central
Copyright: 2011
Publish Date: 05/11
Weight: 0.00 Lbs.
Subject Class: AIM (Allergy and Immunology)
Return Policy: Non-Returnable.
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Class Specifications
Discipline: Micro/Immuno
Subject Definition: Immune System; Models, Immunological; Models, Theoretical
NLM Class: QW 504
LC Class: QR181
Abstract: "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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