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BMCBI
2008

Rank-based edge reconstruction for scale-free genetic regulatory networks

13 years 11 months ago
Rank-based edge reconstruction for scale-free genetic regulatory networks
Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this problem have been proposed, however, they do not take into account the topological characteristics of the targeted networks while reconstructing them. Results: In this study, an algorithm that explores the scale-free topology of networks was proposed based on the modification of a rank-based algorithm for network reconstruction. The new algorithm was evaluated with the use of both simulated and microarray gene expression data. The results demonstrated that the proposed algorithm outperforms the original rank-based algorithm. In addition, in comparison with the Bayesian Network approach, the results show that the proposed algorithm gives much better recovery of the underlying network when sample size is much smaller relative to the number of genes. Conclusion: The proposed algorithm is expected to be useful in the r...
Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai
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