Luo, W., Woolf, P. J. (2010) Reconstructing transcriptional regulatory networks using three-way mutual information and Bayesian networks. In: Methods Mol Biol. Springer Science+Business Media, pp. 401-18. ISBN 1940-6029 (Electronic) 1064-3745 (Linking)
Abstract
Probabilistic methods such as mutual information and Bayesian networks have become a major category of tools for the reconstruction of regulatory relationships from quantitative biological data. In this chapter, we describe the theoretic framework and the implementation for learning gene regulatory networks using high-order mutual information via the MI3 method (Luo et al. (2008) BMC Bioinformatics 9, 467; Luo (2008) Gene regulatory network reconstruction and pathway inference from high throughput gene expression data. PhD thesis). We also cover the closely related Bayesian network method in detail.
| Item Type: | Book Section |
|---|---|
| Subjects: | bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > transcription bioinformatics > genomics and proteomics > analysis and processing > NETBAG bioinformatics > quantitative biology |
| CSHL Authors: | |
| Depositing User: | CSHL Librarian |
| Date: | 2010 |
| Date Deposited: | 03 Oct 2011 20:23 |
| Last Modified: | 21 Mar 2012 15:42 |
| URI: | https://repository.cshl.edu/id/eprint/15468 |
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