IMR Press / FBL / Volume 13 / Issue 1 / DOI: 10.2741/2677

Frontiers in Bioscience-Landmark (FBL) is published by IMR Press from Volume 26 Issue 5 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on as a courtesy and upon agreement with Frontiers in Bioscience.

Inferring regulatory networks
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1 Bioinformatics Unit, Branch of Research Resources, National Institute on Aging, NIH, Baltimore, MD, USA
2 Department of Electrical, Computer, and Biomedical Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA

Academic Editor: Robert Clarke

Front. Biosci. (Landmark Ed) 2008, 13(1), 263–275;
Published: 1 January 2008
(This article belongs to the Special Issue Classification and prediction in genomics and proteomics)

The discovery of regulatory networks is an important aspect in the post genomic research. The process requires integrated efforts of experimental and computational strategies by employing the systems biology approach. This review summarizes some of the major themes in computational inference of regulatory networks based on gene expression and other data sources, including transcriptional module identification, network topology inference, and network analysis. Popular solutions to each of these problems and their relative merits are discussed.

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