Authors: | Ye, Y.; Wu, X.; Subramanian, K. R.; Zhang, L. |
Title: | GenExplore: Interactive exploration of gene interactions from microarray data |
Conference Title: | 20th International Conference on Data Engineering ICDE 2004 |
Abstract: | DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that show similar expression patterns. However, this approach usually fails to unveil gene-gene interactions in the same cluster. In this project, we propose to combine graphical model based interaction analysis with other data mining techniques (e.g., association rule, hierarchical clustering) for this purpose. For interaction analysis, we propose the use of Graphical Gaussian Model to discover pairwise gene interactions and loglinear model to discover multi-gene interactions. We have constructed a prototype system that permits rapid interactive exploration of gene relationships. |
Keywords: | genes; image analysis; dna; dna microarray; information analysis; failure analysis; graphic methods; set theory; computational methods; data mining; knowledge acquisition; gene interactions; graphical gaussian modelling (ggm); interactive exploration; project management; software prototyping |
Journal Title | International Conference on Data Engineering. Proceedings |
Volume: | 20 |
Conference Dates: | 2004 Mar 30-Apr 2 |
Conference Location: | Boston, MA |
ISBN: | 1084-4627 |
Publisher: | IEEE |
Date Published: | 2004-01-01 |
Start Page: | 860 |
Language: | English |
DOI: | 10.1109/icde.2004.1320088 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | Proc Int Conf Data Eng -- Conference code: 62960 -- Export Date: 16 June 2014 -- CODEN: PIDEE -- 30 March 2004 through 2 April 2004 -- Source: Scopus |