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- Title
An effective structure learning method for constructing gene networks.
- Authors
Chen, Xue-Wen; Anantha, Gopalakrishna; Wang, Xinkun
- Abstract
Bayesian network methods have shown promise in gene regulatory network reconstruction because of their capability of capturing causal relationships between genes and handling data with noises found in biological experiments. The problem of learning network structures, however, is NP hard. Consequently, heuristic methods such as hill climbing are used for structure learning. For networks of a moderate size, hill climbing methods are not computationally efficient. Furthermore, relatively low accuracy of the learned structures may be observed. The purpose of this article is to present a novel structure learning method for gene network discovery.
- Publication
Bioinformatics (Oxford, England), 2006, Vol 22, Issue 11, p1367
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btl090