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

ABSTRACT:

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 tha

SUBMITTER: Chen G 

PROVIDER: S-EPMC2275249 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature