1. Network Analysis to Interpret Complex Phenotypes

  1. Prof. Dr. Matthias Dehmer3,
  2. Prof. Dr. Frank Emmert-Streib4,
  3. Armin Graber3,5 and
  4. Armindo Salvador6
  1. Hong Yu1,
  2. Jialiang Huang1,
  3. Wei Zhang1 and
  4. Jing-Dong J. Han1,2

Published Online: 21 APR 2011

DOI: 10.1002/9783527638079.ch1

Applied Statistics for Network Biology: Methods in Systems Biology

Applied Statistics for Network Biology: Methods in Systems Biology

How to Cite

Yu, H., Huang, J., Zhang, W. and Han, J.-D. J. (2011) Network Analysis to Interpret Complex Phenotypes, in Applied Statistics for Network Biology: Methods in Systems Biology (eds M. Dehmer, F. Emmert-Streib, A. Graber and A. Salvador), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527638079.ch1

Editor Information

  1. 3

    UMIT, Institute for Bioinformatics and Translational Research, Eduard Wallnöfer Zentrum 1, 6060 Hall, Tyrol, Austria

  2. 4

    Queen's University Belfast, Center for Cancer Research and Cell Biology, 97, Lisburn Road, Belfast BT9 7BL, United Kingdom

  3. 5

    Novartis Pharmaceuticals Corporation, Oncology Biomarkers and Imaging, One Health Plaza, East Hanover, NJ 07936, USA

  4. 6

    University of Coimbra, Center for Neuroscience and Cell Biology, Department of Chemistry, 3004-535 Coimbra, Portugal

Author Information

  1. 1

    Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Center for Molecular Systems Biology, Key Laboratory of Molecular Developmental Biology, Lincui East Road, 100101 Beijing, China

  2. 2

    Chinese Academy of Sciences–Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, 200031 Shanghai, China

Publication History

  1. Published Online: 21 APR 2011
  2. Published Print: 20 APR 2011

Book Series:

  1. Quantitative and Network Biology

Book Series Editors:

  1. M. Dehmer3 and
  2. F. Emmert-Streib4

Series Editor Information

  1. 3

    UMIT, Institute for Bioinformatics and Translational Research, Eduard Wallnöfer Zentrum 1, 6060 Hall, Tyrol, Austria

  2. 4

    Queen's University Belfast, Center for Cancer Research and Cell Biology, 97, Lisburn Road, Belfast BT9 7BL, United Kingdom

ISBN Information

Print ISBN: 9783527327508

Online ISBN: 9783527638079

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Keywords:

  • gene network;
  • betweenness;
  • motif;
  • hierarchy;
  • modularity;
  • transcription;
  • pathway

Summary

This chapter contains sections titled:

  • Introduction

  • Identification of Important Genes based on Network Topologies

  • Inferring Information from Known Networks

  • Conclusions

  • References