|
|
 |
|
Viewing report
|
|
 |
 |
Analysis of Biological Networks
John Wiley and Sons Ltd, April 2008, Pages: 368
An introduction to biological networks and methods for their analysis
Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks.
Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study.
This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.
Product samples
A sample for this product is available. Please Login/Register to download this sample.
Customers who bought this item also bought
Handbook of Molecular Microbial Ecology I: Metagenomics and Complementary Approaches
Biodectection Technologies 2011 - 18th International Conference: Technological Advances in Detection & Identification of Biological Threats
Linear Programming and Network Flows, 4th Edition
Data Mining and Statistics for Decision Making
Data Structures and Algorithms Using Python
Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples
The EM Algorithm and Extensions, 2nd Edition
Digital Design of Signal Processing Systems: A Practical Approach
Bayesian Networks: An Introduction
Network Science: Theory and Applications
|
 |
|
|