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Systems biomedicine[electronic resource] :concepts and perspectives /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	610.113
書名/作者:	Systems biomedicine : concepts and perspectives // edited by Edison T. Liu, Douglas A. Lauffenburger.
其他作者:	Liu, Edison T.
出版者:	London : : Academic,, 2009.
面頁冊數:	1 online resource.
標題:	Medical sciences - Computer simulation.
標題:	Systems Biology.
標題:	Computer Simulation.
標題:	Systems biology.
ISBN:	9780123725509
ISBN:	012372550X
內容註:	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.
摘要、提要註:	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.
電子資源:	An electronic book accessible through the World Wide Web; click for information

Systems biomedicine[electronic resource] :concepts and perspectives /
Systems biomedicineconcepts and perspectives /[electronic resource] :edited by Edison T. Liu, Douglas A. Lauffenburger. - London :Academic,2009. - 1 online resource.

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.

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.

ISBN: 9780123725509

Source: 134207:134335Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

428204
Medical sciences
--Computer simulation.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QH324.2 / .S978 2009

Dewey Class. No.: 610.113

Systems biomedicine[electronic resource] :concepts and perspectives /
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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.
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