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… Más…
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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 … Más…
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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 … Más…
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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… Más…
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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… Más…
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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… Más…
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 … Más…
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 … Más…
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… Más…
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… Más…
Datos bibliográficos del mejor libro coincidente
Detalles del libro - In Silico Immunology by Darren D.R. Flower Hardcover | Indigo Chapters
EAN (ISBN-13): 9780387392387
ISBN (ISBN-10): 0387392386
Tapa dura
Año de publicación: 2006
Editorial: Darren D.R. Flower
450 Páginas
Peso: 0,780 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2007-05-08T07:31:36-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-11-18T13:26:10-06:00 (Mexico City)
ISBN/EAN: 0387392386
ISBN - escritura alterna:
0-387-39238-6, 978-0-387-39238-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: flower, darre, jon, darren, springer, david hume, jonathan
Título del libro: silico immunology, darren
Datos del la editorial
Autor: Darren D.R. Flower; Jon Timmis
Título: In Silico Immunology
Editorial: Springer; Springer US
451 Páginas
Año de publicación: 2006-12-01
New York; NY
Idioma: Inglés
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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