Chapter 7. Disease Biomarkers and Biological Interaction Networks

  1. Dr Francisco Azuaje Senior Member Associate Editor

Published Online: 14 JAN 2010

DOI: 10.1002/9780470686423.ch7

Bioinformatics and Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine

Bioinformatics and Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine

How to Cite

Azuaje, F. (2010) Disease Biomarkers and Biological Interaction Networks, in Bioinformatics and Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470686423.ch7

Author Information

  1. Public Research Centre for Health (CRP-Santé), Luxembourg

Publication History

  1. Published Online: 14 JAN 2010
  2. Published Print: 19 FEB 2010

ISBN Information

Print ISBN: 9780470744604

Online ISBN: 9780470686423

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Keywords:

  • translational bioinformatics;
  • biomarkers;
  • protein networks;
  • gene networks;
  • network-based biology;
  • systems biology;
  • systems medicine

Summary

This chapter provides an introduction to the discovery of disease biomarkers based on the inference, analysis and interpretation of different types of biological interaction networks. The network-centric view of disease classification and biomarker identification is explained. Basic statistical and graph theory concepts are reviewed, which represent tools for describing and understanding network structures and functions. The main computational approaches to representing and inferring biological networks are reviewed. Different examples of the application of network-based approaches to understanding disease and discovering novel biomarkers are illustrated. Network-based prognostic systems are discussed in greater detail through several practical examples of recent research highlights. Some of the opportunities and obstacles in network-driven biomarker research are discussed