Artificial Intelligence in Medicine
Volume 48, Issue 2 , Pages 153-160, February 2010

A new multiple regression approach for the construction of genetic regulatory networks

  • Shu-Qin Zhang

      Affiliations

    • School of Mathematical Sciences, Fudan University, Shanghai, China
  • ,
  • Wai-Ki Ching

      Affiliations

    • Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong
    • Corresponding Author InformationCorresponding author. Tel.: +852 2859 2256; fax: +852 2559 2225.
  • ,
  • Nam-Kiu Tsing

      Affiliations

    • Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong
  • ,
  • Ho-Yin Leung

      Affiliations

    • Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong
  • ,
  • Dianjing Guo

      Affiliations

    • Department of Biology, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

Received 12 August 2008; received in revised form 4 September 2009; accepted 8 September 2009.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

 Preliminary version was presented in the International Conference on BioMedical Engineering and Informatics, 2008.

PII: S0933-3657(09)00160-2

doi:10.1016/j.artmed.2009.11.001

Artificial Intelligence in Medicine
Volume 48, Issue 2 , Pages 153-160, February 2010