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    Mathematical Models and Immune Cell Biology

Mathematical Models and Immune Cell Biology

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.
      Format: Hardback CONTRIBUTORS: Carmen Molina-París EAN: 9781441977243 COUNTRY: United States PAGES: WEIGHT: 799 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2011-05-06 CITY: GENRE: COMPUTERS / Computer Science, MEDICAL / Immunology, SCIENCE / Life Sciences / Biochemistry, SCIENCE / Life Sciences / General WIDTH: 155 cm SPINE:

      Book Themes:

      Immunology, Computational biology / bioinformatics, Biochemistry

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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.
      Format: Hardback CONTRIBUTORS: Carmen Molina-París EAN: 9781441977243 COUNTRY: United States PAGES: WEIGHT: 799 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2011-05-06 CITY: GENRE: COMPUTERS / Computer Science, MEDICAL / Immunology, SCIENCE / Life Sciences / Biochemistry, SCIENCE / Life Sciences / General WIDTH: 155 cm SPINE:

      Book Themes:

      Immunology, Computational biology / bioinformatics, Biochemistry

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      Be the first to write a review
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