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- Title
Comparisons and validation of statistical clustering techniques for microarray gene expression data.
- Authors
Datta, Susmita; Datta, Somnath
- Abstract
With the advent of microarray chip technology, large data sets are emerging containing the simultaneous expression levels of thousands of genes at various time points during a biological process. Biologists are attempting to group genes based on the temporal pattern of their expression levels. While the use of hierarchical clustering (UPGMA) with correlation 'distance' has been the most common in the microarray studies, there are many more choices of clustering algorithms in pattern recognition and statistics literature. At the moment there do not seem to be any clear-cut guidelines regarding the choice of a clustering algorithm to be used for grouping genes based on their expression profiles.
- Publication
Bioinformatics (Oxford, England), 2003, Vol 19, Issue 4, p459
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btg025