Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Microarray Image Gridding by Using Self-Organizing Maps

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

1 Author(s)
Moena Q, D. ; Comput. Sci. Dept., Univ. de Concepcion, Concepcion, Chile

cDNA Microarrays allow experimenters to analyze expression level of thousand of genes in a parallel fashion, originating huge amounts of data, and making necessary to create fully automatic analysis tools. Is this paper is proposed a new analysis model for microarray image gridding, based on self organizing maps. Experimental results suggests that SOMs can be successfully applied to this task and, even more, that its applicability can be extended to other stages of the microarray image analysis.

Published in:

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Date of Conference:

10-12 May 2011