Inferring regulatory networks

Huai Li, Jianhua Xuan, Yue Wang, Ming Zhan

Research output: Contribution to journalReview article

34 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)263-275
Number of pages13
JournalFrontiers in Bioscience
Volume13
Issue number1
DOIs
StatePublished - 2008

Keywords

  • Coexpression
  • Modeling and inference
  • Pathway dynamics
  • Regulatory network
  • Review
  • Systems biology
  • Transcriptional intervention

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Biochemistry
  • Cell Biology
  • Medicine(all)

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