Part 4. Bioinformatics
4.5. Computational Methods for High-throughput Genetic Analysis: Expression Profiling
Basic Techniques and Approaches
Published Online: 15 NOV 2005
Copyright © 2005 John Wiley & Sons, Ltd
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.
- Published Online: 15 NOV 2005
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.