Systems Biomedicine : Concepts and Perspectives

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Détails bibliographiques
Auteur principal: Liu, Edison T.
Autres auteurs: Lauffenburger, Douglas A.
Support: E-Book
Langue: Anglais
Publié: San Diego, CA : Elsevier Science, 2009.
Sujets:
Autres localisations: Voir dans le Sudoc
Résumé: Systems biology is a critical emerging field that seeks to define the interactions of all biological components by examining underlying biochemical and genetic processes. It is a discipline that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems. Systems Biomedicine is organized around foundations, computational modelling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon
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020 |a 9780080919836 
041 0 |a eng 
100 1 |a Liu, Edison T. 
245 1 0 |a Systems Biomedicine :  |b Concepts and Perspectives   |c Edison T. Liu ; Douglas A. Lauffenburger. 
256 |a Données textuelles 
260 |a San Diego, CA :  |b Elsevier Science,  |c 2009. 
500 |a Titre provenant de la page de titre du document numérique 
500 |a Numérisation de l'édition de San Diego, CA, USA : Elsevier Science & Technology Books, 2009 
500 |a La pagination de l'édition imprimée correspondante est de 449 p. 
500 |a Type of computer file: Fichier PDF 
505 0 |a I. Foundations of Systems Biology -- Genomic Technologies for Systems Biology -- Proteomic Technologies -- II. Computational Modeling of Biological Systems -- Dynamic Systems Analysis -- Spatio-temoral Modeling of Cellular Systems -- High-level modeling of biological networks -- High-Performance Computing -- Modeling Software -- III. Network Biology -- Protein Interaction Networks -- Signaling Networks with Modeling Strategies -- Protein networks in integrin-mediated adhesions -- Network Imaging -- RNAi networks -- IV. Integrative Biology of Higher Biosystems -- Signal Processing and Integration During Development -- Systems Biology and Stem Cell Biology -- Application of immunologic modeling in drug discovery and development -- V. Systems Medicine Applications -- Systems Pharmacology 
520 |a Systems biology is a critical emerging field that seeks to define the interactions of all biological components by examining underlying biochemical and genetic processes. It is a discipline that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems. Systems Biomedicine is organized around foundations, computational modelling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon 
538 |a Configuration requise : navigateur internet 
650 |a Biologie systémique 
650 |a Médecine  |x Recherche  |x Simulation par ordinateur 
700 1 |a Lauffenburger, Douglas A.  |4 aut 
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856 4 |q PDF  |u http://www.sciencedirect.com/science/book/9780123725509  |z Accès à l'E-book  
993 |a E-Book 
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