9780521888950 - Protein Interaction Networks: Computational Analysis by Zhang, Aidong (24 results)

Hardcover. Condition: As New. 1st Edition. First Edition. Original boards. As New. No dust Jacket.

Condition: New. xiv 278 8 of lates Illus.

Hardback. Condition: As New. The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.

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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Hardcover. Condition: new. Hardcover. The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research. This is the first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks. For each approach, the book explains the fundamental principles and discusses the benefits and drawbacks. The book then goes on to offer ideas for future research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condition: Brand New. 1st edition. 278 pages. 10.00x7.00x0.75 inches. In Stock.

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Condition: New. The first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks. Num Pages: 292 pages, 79 b/w illus. 11 colour illus. 30 tables. BIC Classification: PSBC; UY. Category: (P) Professional & Vocational. Dimension: 253 x 215 x 21. Weight in Grams: 71. . 2009. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks.

Condition: New. The first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks. Num Pages: 292 pages, 79 b/w illus. 11 colour illus. 30 tables. BIC Classification: PSBC; UY. Category: (P) Professional & Vocational. Dimension: 253 x 215 x 21. Weight in Grams: 71. . 2009. 1st Edition. hardcover. . . . .

Hardcover. Condition: Brand New. 1st edition. 278 pages. 10.00x7.00x0.75 inches. In Stock. This item is printed on demand.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condition: new. Hardcover. The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research. This is the first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks. For each approach, the book explains the fundamental principles and discusses the benefits and drawbacks. The book then goes on to offer ideas for future research. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks. For each approach, the book explains the fundamental principles and discusses the benefits and drawbacks. .

Hardcover. Condition: new. Hardcover. The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research. This is the first full survey of statistical, topological, data-mining, and ontology-based methods for analyzing protein-protein interaction networks. For each approach, the book explains the fundamental principles and discusses the benefits and drawbacks. The book then goes on to offer ideas for future research. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.