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What is Associated Network

Chapter 29
Handbook of Research on Systems Biology Applications in Medicine
Each arc of this network is associated with an similarity measure between values of the nodes. This measure can be Pearson correlation, mutual information, or others. The node values are vectors of real numbers.
Published in Chapter:
Methods for Reverse Engineering of Gene Regulatory Networks
Hendrik Hache (Max Planck Institute for Molecular Genetics, Germany)
Copyright: © 2009 |Pages: 19
DOI: 10.4018/978-1-60566-076-9.ch029
Abstract
In this chapter, different methods and applications for reverse engineering of gene regulatory networks that have been developed in recent years are discussed and compared. Inferring gene networks from different kinds of experimental data are a challenging task that emerged, especially with the development of high throughput technologies. Various computational methods based on diverse principles were introduced to identify new regulations among genes. Mathematical aspects of the models are highlighted, and applications for reverse engineering are mentioned.
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