Clustering Methods for Microarray Gene Expression Data Review

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Proceedings titleA special issue on current microarray research 2006, 10(4)
ConferenceOmics: A journal of integrative biology, 2006
AbstractWithin the field of genomics, microarray technologies have become a powerful technique for simultaneously monitoring the expression patterns of thousands of genes under different sets of conditions. A main task now is to propose analytical methods to identify groups of genes that manifest similar expression patterns and are activated by similar conditions. The corresponding analysis problem is to cluster multi-condition gene expression data. The purpose of this paper is to present a general view of clustering techniques used in microarray gene expression data analysis.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48780
NPARC number5763612
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Record identifier9f174dbd-91a6-4e80-831b-3fc3e12b4593
Record created2009-03-29
Record modified2016-05-09
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