By Topic

Knowledge discovery in a microarray data warehouse

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

2 Author(s)
Al-Timimi, A. ; Sch. of Computational Sci., George Mason Univ., Fairfax, VA, USA ; Jamison, D.C.

Transcriptional profiling via DNA microarrays allows parallel surveys of patterns of gene expression across the human genome under a wide range of cellular responses, phenotypes and conditions. Effective data mining requires placing gene expression data in its proper genomic and phenotypic context. In this paper, we describe the design and implementation of a microarray data warehouse that actively incorporates biological knowledge with gene expression data thereby facilitating knowledge discovery.

Published in:

Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on  (Volume:2 )

Date of Conference:

5-7 April 2004