Statistical And Evolutionary Analysis Of Biological Networks
eBook - PDF

Statistical And Evolutionary Analysis Of Biological Networks

  1. 180 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical And Evolutionary Analysis Of Biological Networks

Book details
Table of contents
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About This Book

Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis.In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionality.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.

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Yes, you can access Statistical And Evolutionary Analysis Of Biological Networks by Michael P H Stumpf, Carsten Wiuf in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Evolution. We have over one million books available in our catalogue for you to explore.

Information

Publisher
ICP
Year
2009
ISBN
9781848164345
Topic
Biological Sciences
Subtopic
Evolution
Index
Biological Sciences

Table of contents

  1. Contents
  2. Preface
  3. 1. A Network Analysis Primer Michael P.H. Stumpf and Carsten Wiuf
  4. 2. Evolutionary Analysis of Protein Interaction Networks Carsten Wiuf and Oliver Ratmann
  5. 3. Motifs in Biological Networks Falk Schreiber and Henning Schw obbermeyer
  6. 4. Bayesian Analysis of Biological Networks: Clusters, Motifs, Cross- Species Correlations Johannes Berg and Michael L assig
  7. 5. Network Concepts and Epidemiological Models Rowland R. Kao and Istvan Z. Kiss
  8. 6. Evolutionary Origin and Consequences of Design Properties of Metabolic Networks Thomas Pfeiffer and Sebastian Bonhoeffer
  9. 7. Protein Interactions from an Evolutionary Perspective Florencio Pazos and Alfoso Valencia
  10. 8. Statistical Null Models for Biological Network Analysis William P. Kelly, Thomas Thorne and Michael P.H. Stumpf
  11. Index