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Whatever its final readership and impact, we, the Editors, feel this book is im portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being … mais…
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Whatever its final readership and impact, we, the Editors, feel this book is im portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being … mais…
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2006, ISBN: 9780387392387
[ED: Gebunden], [PU: Springer US], This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical i… mais…
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2001, ISBN: 9780387392387
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research… mais…
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2001, ISBN: 9780387392387
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - Immunology is an all important science, addressing, as it does the most pressing medical needs of our time: infectious disease and transp… mais…
ISBN: 9780387392387
Whatever its final readership and impact, we, the Editors, feel this book is im portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being … mais…
ISBN: 9780387392387
Whatever its final readership and impact, we, the Editors, feel this book is im portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being … mais…
2006, ISBN: 9780387392387
[ED: Gebunden], [PU: Springer US], This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical i… mais…
2001, ISBN: 9780387392387
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research… mais…
Dados bibliográficos do melhor livro correspondente
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Número ISBN: |
Dados detalhados do livro - In Silico Immunology by Darren D.R. Flower Hardcover | Indigo Chapters
EAN (ISBN-13): 9780387392387
ISBN (ISBN-10): 0387392386
Livro de capa dura
Ano de publicação: 2006
Editor/Editora: Darren D.R. Flower
450 Páginas
Peso: 0,780 kg
Língua: eng/Englisch
Livro na base de dados desde 2007-05-08T13:31:36+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2023-11-18T19:26:10+00:00 (Lisbon)
Número ISBN/EAN: 0387392386
Número ISBN - Ortografia alternativa:
0-387-39238-6, 978-0-387-39238-7
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: flower, darre, jon, darren, springer, david hume, jonathan
Título do livro: silico immunology, darren
Dados da editora
Autor: Darren D.R. Flower; Jon Timmis
Título: In Silico Immunology
Editora: Springer; Springer US
451 Páginas
Ano de publicação: 2006-12-01
New York; NY
Língua: Inglês
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XVIII, 451 p. 89 illus.
BB; Hardcover, Softcover / Medizin/Nichtklinische Fächer; Immunologie; Verstehen; In silico; Master Patient Index; algorithms; artificial immune systems; computational science; immunoinformatics; immunology; theoretical immunology; Proteomics; Immunology; Bioinformatics; Microbial Genetics; Protein Biochemistry; Mathematical and Computational Biology; DV-gestützte Biologie/Bioinformatik; Mikrobiologie (nicht-medizinisch); Genetik (nicht-medizinisch); Biochemie; BC
Overview of the book.- Overview of the book.- Introducing In Silico Immunology.- Innate and Adaptive Immunity.- Immunoinformatics and Computational Vaccinology: A Brief Introduction.- A Beginners Guide to Artificial Immune Systems.- The Nature of Natural and Artificial Immune Systems.- Computational Models of B cell and T cell Receptors.- Modelling Immunological Memory.- Capturing Degeneracy in the Immune System.- Alternative Inspiration For Artificial Immune Systems: Exploiting Cohen’s Cognitive Immune Model.- Empirical, AI, and QSAR Approaches to Peptide-MHC Binding Prediction.- MHC diversity in Individuals and Populations.- Identifying Major Histocompatibility Complex Supertypes.- Biomolecular Structure Prediction Using Immune Inspired Algorithms.- How Natural and Artificial Immune Systems Interact with the World.- Embodiment.- The Multi-scale Immune Response to Pathogens: M. tuberculosis as an Example.- Go Dutch: Exploit Interactions and Environments with Artificial Immune Systems.- Immune Inspired Learning in a Distributed Environment.- Mathematical Analysis of Artificial Immune System Dynamics and Performance.- Conceptualizing the Self-Nonself Discrimination by the Vertebrate Immune System.In silico Immunology" summarizes the three different disciplines now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems (AIS) It will address the issue of synergy as it shows how these three are set to transform immunological science and the future of health care
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