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… Plus…
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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 … Plus…
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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 … Plus…
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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… Plus…
booklooker.de |
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… Plus…
booklooker.de |
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… Plus…
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 … Plus…
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 … Plus…
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… Plus…
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… Plus…
Données bibliographiques du meilleur livre correspondant
Informations détaillées sur le livre - In Silico Immunology by Darren D.R. Flower Hardcover | Indigo Chapters
EAN (ISBN-13): 9780387392387
ISBN (ISBN-10): 0387392386
Version reliée
Date de parution: 2006
Editeur: Darren D.R. Flower
450 Pages
Poids: 0,780 kg
Langue: eng/Englisch
Livre dans la base de données depuis 2007-05-08T14:31:36+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-11-18T20:26:10+01:00 (Zurich)
ISBN/EAN: 0387392386
ISBN - Autres types d'écriture:
0-387-39238-6, 978-0-387-39238-7
Autres types d'écriture et termes associés:
Auteur du livre: flower, darre, jon, darren, springer, david hume, jonathan
Titre du livre: silico immunology, darren
Données de l'éditeur
Auteur: Darren D.R. Flower; Jon Timmis
Titre: In Silico Immunology
Editeur: Springer; Springer US
451 Pages
Date de parution: 2006-12-01
New York; NY
Langue: Anglais
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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