HIDEN: Hierarchical decomposition of regulatory networksReport as inadecuate

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BMC Bioinformatics

, 13:250

Networks analysis


BackgroundTranscription factors regulate numerous cellular processes by controlling the rate of production of each gene. The regulatory relations are modeled using transcriptional regulatory networks. Recent studies have shown that such networks have an underlying hierarchical organization. We consider the problem of discovering the underlying hierarchy in transcriptional regulatory networks.

ResultsWe first transform this problem to a mixed integer programming problem. We then use existing tools to solve the resulting problem. For larger networks this strategy does not work due to rapid increase in running time and space usage. We use divide and conquer strategy for such networks. We use our method to analyze the transcriptional regulatory networks of E. coli, H. sapiens and S. cerevisiae.

ConclusionsOur experiments demonstrate that: i Our method gives statistically better results than three existing state of the art methods; ii Our method is robust against errors in the data and iii Our method’s performance is not affected by the different topologies in the data.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-13-250 contains supplementary material, which is available to authorized users.

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Author: Günhan Gülsoy - Nirmalya Bandhyopadhyay - Tamer Kahveci

Source: https://link.springer.com/

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