GenExplore: Interactive exploration of gene interactions from microarray data Conference Paper


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
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  1. Liying Zhang
    129 Zhang