Reconstructing transcriptional regulatory networks using three-way mutual information and Bayesian networks.

Clicks: 235
ID: 41624
2010
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Ranked #88 of 139 articles by views in methods in molecular biology (clifton, nj)

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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.
Reference Key
luo2010reconstructingmethods Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Luo, Weijun;Woolf, Peter J;
Journal methods in molecular biology (clifton, nj)
Year 2010
DOI
10.1007/978-1-60761-854-6_23
URL
Keywords Keywords not found

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