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We address the analysis of time-course microarray data, when they involve a series of case and control samplings along time. For instance:
 * time-1
 * time-2
 * time-3
 * time-4
A further complication is introduced when there are case vs control dyads for each time-point, but we will discuss that case later. <<BR>>
The usual approach is to perform ''clustering'', in order to find genes with the same profile along time; the clusters are then profiled using annotations, typically doing a test for Gene Ontology enrichment. The final aim is to associate a transcriptional profiles and functions (e.g. Pro-apoptotic genes are upregulated from time-point 2). 

(to be finished...)