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Relevance networks

Part 4. Bioinformatics

4.5. Computational Methods for High-throughput Genetic Analysis: Expression Profiling

Basic Techniques and Approaches

  1. Atul J. Butte

Published Online: 15 NOV 2005

DOI: 10.1002/047001153X.g405404

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

How to Cite

Butte, A. J. 2005. Relevance networks. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 4:4.5:63.

Author Information

  1. Children's Hospital, Boston, MA, USA

Publication History

  1. Published Online: 15 NOV 2005

Abstract

Relevance networks offer a method for constructing networks of similarity between genes, with the principal advantages being the ability to (1) include features of more than one data type (i.e., clinical, expression, and phenotypic data in the same analysis), (2) represent multiple connections between genes (e.g., a transcription factor may be responsible for regulating the expression of multiple other genes), and (3) capture negative as well as positive correlations (e.g., those from tumor-suppressing genes). Java-based software is available to construct relevance networks.

Keywords:

  • network;
  • microarray;
  • correlation