Chapter 9. Structural Equation for Identification of Genetic Networks

  1. Dr. Frank Emmert-Streib2,3 and
  2. Dr. Matthias Dehmer4
  1. Momiao Xiong

Published Online: 16 SEP 2008

DOI: 10.1002/9783527622818.ch9

Analysis of Microarray Data: A Network-Based Approach

Analysis of Microarray Data: A Network-Based Approach

How to Cite

Xiong, M. (2008) Structural Equation for Identification of Genetic Networks, in Analysis of Microarray Data: A Network-Based Approach (eds F. Emmert-Streib and M. Dehmer), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527622818.ch9

Editor Information

  1. 2

    University of Washington, Department of Biostatistics, University of Washington, Department of Genome Sciences, Seattle, WA 98195-5065, USA

  2. 3

    Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110, USA

  3. 4

    Vienna University of Technology, Discrete Mathematics and Geometry, Wiedner Hauptstrasse 8–10/104, 1040 Vienna, Austria

Author Information

  1. University of Texas School of Public Health, Division of Biostatistics, 1200 Herman Pressler Street, Houston, TX 77030, USA

Publication History

  1. Published Online: 16 SEP 2008
  2. Published Print: 13 FEB 2008

ISBN Information

Print ISBN: 9783527318223

Online ISBN: 9783527622818

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Keywords:

  • DNA microarrays;
  • analysis;
  • structural equation;
  • identification of genetic networks;
  • models;
  • covariance matrix;
  • estimation;
  • likelihood function;
  • model selection;
  • criterion;
  • identification of differentially expressed genetic networks;
  • generalized T2 statistic;
  • testing differential expression of genetic networks;
  • differentially regulated genetic networks

Summary

This chapter contains sections titled:

  • Introduction

  • Models

  • Covariance Matrix

  • Estimation

  • Model Selection

  • Identification of Differentially Expressed Genetic Networks

  • Differentially Regulated Genetic Networks

  • Conclusions

  • References