Protein interaction networks : computational analysis / Aidong Zhang.
Zhang, Aidong, 1961-| Call Number | 572/.64 |
| Author | Zhang, Aidong, 1961- author. |
| Title | Protein interaction networks : computational analysis / Aidong Zhang. |
| Physical Description | 1 online resource (xiv, 278 pages) : digital, PDF file(s). |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Contents | Experimental approaches to generation of PPI data -- Computational methods for the prediction of PPIs -- Basic properties and measurements of protein interaction networks -- Modularity analysis of protein interaction networks -- Topological analysis of protein interaction networks / with Woo-chang Hwang -- Distance-based modularity analysis -- Graph-theoretic approaches to modularity analysis -- Flow-based analysis of protein interaction networks -- Statistics and machine learning based analysis of protein interaction networks / with Pritam Chanda and Lei Shi -- Integration of GO into the analysis of protein interaction networks / with Young-rae Cho -- Data fusion in the analysis of protein interaction networks. |
| Summary | 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. |
| Subject | Protein-protein interactions Data processing. Protein-protein interactions Mathematical models. |
| Multimedia |
Total Ratings:
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$a Experimental approaches to generation of PPI data -- Computational methods for the prediction of PPIs -- Basic properties and measurements of protein interaction networks -- Modularity analysis of protein interaction networks -- Topological analysis of protein interaction networks / with Woo-chang Hwang -- Distance-based modularity analysis -- Graph-theoretic approaches to modularity analysis -- Flow-based analysis of protein interaction networks -- Statistics and machine learning based analysis of protein interaction networks / with Pritam Chanda and Lei Shi -- Integration of GO into the analysis of protein interaction networks / with Young-rae Cho -- Data fusion in the analysis of protein interaction networks.
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$a 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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| Summary | 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. |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Contents | Experimental approaches to generation of PPI data -- Computational methods for the prediction of PPIs -- Basic properties and measurements of protein interaction networks -- Modularity analysis of protein interaction networks -- Topological analysis of protein interaction networks / with Woo-chang Hwang -- Distance-based modularity analysis -- Graph-theoretic approaches to modularity analysis -- Flow-based analysis of protein interaction networks -- Statistics and machine learning based analysis of protein interaction networks / with Pritam Chanda and Lei Shi -- Integration of GO into the analysis of protein interaction networks / with Young-rae Cho -- Data fusion in the analysis of protein interaction networks. |
| Subject | Protein-protein interactions Data processing. Protein-protein interactions Mathematical models. |
| Multimedia |