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|a Statistical and evolutionary analysis of biological networks /
|c editors, Michael P.H. Stumpf, Carsten Wiuf.
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260 |
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|a London :
|b Imperial College Press,
|c ©2010.
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300 |
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|a 1 online resource (viii, 170 pages) :
|b illustrations (some color)
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|a Includes bibliographical references and index.
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|a 1. Network Analysis Primer / Michael P.H. Stumpf and Carsten Wiuf -- 2. Evolutionary Analysis of Protein Interaction Networks / Carsten Wiuf and Oliver Ratmann -- 3. Motifs in Biological Networks / Falk Schreiber and Henning Schwobbermeyer -- 4. Bayesian Analysis of Biological Networks: Clusters, Motifs, Cross-Species Correlations / Johannes Berg and Michael Lassig -- 5. Network Concepts and Epidemiological Models / Rowland R. Kao and Istvan Z. Kiss -- 6. Evolutionary Origin and Consequences of Design Properties of Metabolic Networks / Thomas Pfeiffer and Sebastian Bonhoeffer -- 7. Protein Interactions from an Evolutionary Perspective / Florencio Pazos and Alfoso Valencia -- 8. Statistical Null Models for Biological Network Analysis / William P. Kelly, Thomas Thorne and Michael P.H. Stumpf.
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|a "This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community."--Jacket
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650 |
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|a Biology
|x Mathematical models.
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|a Computational biology.
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|a Théorie de la décision bayésienne.
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|a Stumpf, M. P. H.
|q (Michael P. H.)
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700 |
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|a Wiuf, Carsten.
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776 |
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|i Print version:
|t Statistical and evolutionary analysis of biological networks.
|d London : Imperial College Press, ©2010
|z 9781848164338
|w (DLC) 2010487374
|w (OCoLC)539990096
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