Artificial Intelligence in Medicine
Volume 35, Issue 1 , Pages 107-119 , September 2005

Computational modeling of oligonucleotide positional densities for human promoter prediction

Received 30 October 2004 ,Revised 31 January 2005 ,Accepted 22 February 2005.

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.

 Availability: Binary executable of the promoter prediction model, named BayesProm, is available at: http://www.comp.nus.edu.sg/∼bioinfo/BayesProm (accessed: 1 May 2005).

PII: S0933-3657(05)00055-2

doi: 10.1016/j.artmed.2005.02.005

Artificial Intelligence in Medicine
Volume 35, Issue 1 , Pages 107-119 , September 2005