Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

A rule-based framework for gene regulation pathways discovery

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Wilczynski, B. ; Lawrence Livermore Nat. Lab., CA, USA ; Hvidsten, T. ; Kryshtafovych, A. ; Stubbs, L.
more authors

We present a novel approach for rule discovery in the area of gene regulation. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene expression. As a representation of the gene regulatory circuit we have chosen a special form of the IF-THEN rules associating predefined features, taken here as a generalized idea of transcription factor binding sites in gene regulatory regions, with the corresponding gene expression profiles.

Published in:

Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE

Date of Conference:

11-14 Aug. 2003