About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1

Research Article

Reconstructing Gene Networks from Microarray Time-Series Data via Granger Causality

Download(Requires a free EAI acccount)
541 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-642-02466-5_17,
        author={Qiang Luo and Xu Liu and Dongyun Yi},
        title={Reconstructing Gene Networks from Microarray Time-Series Data via Granger Causality},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1},
        proceedings_a={COMPLEX PART 1},
        year={2012},
        month={5},
        keywords={partial Granger causality gene regulatory networks time series data projection pursuit},
        doi={10.1007/978-3-642-02466-5_17}
    }
    
  • Qiang Luo
    Xu Liu
    Dongyun Yi
    Year: 2012
    Reconstructing Gene Networks from Microarray Time-Series Data via Granger Causality
    COMPLEX PART 1
    Springer
    DOI: 10.1007/978-3-642-02466-5_17
Qiang Luo1, Xu Liu1, Dongyun Yi1,*
  • 1: National University of Defense Technology
*Contact email: dongyun.yi@gmail.com

Abstract

Reconstructing gene network structure from Microarray time-series data is a basic problem in Systems Biology. In gene regulation networks, the time delays and the combination effects which are not considered by most existent models are key factors to understand the genetic regulatory networks. To address these problems, this paper proposed a fast algorithm to learn initial network structures for gene networks from time-series data by employing the Granger causality model to analyze the time delays and the combination effects for gene regulation. The simulation results on a synthetic network and the ethylene pathway in show that the proposed algorithm is a promise tool for learning network structures from time-series data.

Keywords
partial Granger causality gene regulatory networks time series data projection pursuit
Published
2012-05-11
http://dx.doi.org/10.1007/978-3-642-02466-5_17
Copyright © 2009–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL