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Killer Cell Dynamics: Mathematical and Computational Approaches to Immunology [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Wodarz, Dominik
  • Author:  Wodarz, Dominik
  • ISBN-10:  1441921656
  • ISBN-10:  1441921656
  • ISBN-13:  9781441921659
  • ISBN-13:  9781441921659
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jan-2010
  • Pub Date:  01-Jan-2010
  • SKU:  1441921656-11-SPRI
  • SKU:  1441921656-11-SPRI
  • Item ID: 100814920
  • List Price: $169.00
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Nov 01 to Nov 03
  • Notes: Brand New Book. Order Now.

This book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.

Designed to be useful to immunoligists and viroligists without extensive computational background, this book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.

Systems biology and computational biology have recently become prominent areas of research in the biomedical community, especially in the area of cell biology. Given that much information on genes and their protein products has become available, the big question is how the individual components interact and work together, and how this determines the functioning of cells, organs, and organisms. Long before the popularity of systems biology in biomedicine, however, such approaches have been used successfully in a di?erent area of biology: population ecology. Research in the area of population dynamics - vestigated complex interactions between di?erent populations of organisms, such as the dynamics of competition and predation, food webs, community structure, as well as the epidemiology of infectious diseases. In this ?eld, t- oretical biology and mathematical modeling have become an integral part of research. Mathematical models allowed people to obtain interesting and counter-intuitive insighl£"

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