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2007
Springer

Mining Spatial Gene Expression Data for Association Rules

12 years 8 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a novel process whereby generated patterns are used to probe spatially-mapped gene expression domains, we are able to get unbiased results as opposed to using annotations based predefined anatomy regions. We describe two processes to form association rules based on spatial configurations, one that associates spatial regions, the other associates genes.
Jano I. van Hemert, Richard A. Baldock
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where BIRD
Authors Jano I. van Hemert, Richard A. Baldock
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