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Interactive Exploration of Multidimensional Microarray Data: Scatterplot Ordering, Gene Ontology Browser, and Profile Search (2003)

dc.contributor.authorSeo, Jinwooken_US
dc.contributor.authorShneiderman, Benen_US
dc.date.accessioned2007-05-23T10:17:21Z
dc.date.available2007-05-23T10:17:21Z
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1903/6528
dc.description.abstractMultidimensional data sets are common in many research areas, including microarray experiment data sets. Genome researchers are using cluster analysis to find meaningful groups in microarray data. However, the high dimensionality of the data sets hinders users from finding interesting patterns, clusters, and outliers. Determining the biological significance of such features remains problematic due to the difficulties of integrating biological knowledge. In addition, it is not efficient to perform a cluster analysis over the whole data set in cases where researchers know the approximate temporal pattern of the gene expression that they are seeking. <p>To address these problems, we add three new features to the Hierarchical Clustering Explorer (HCE): (1) scatterplot ordering methods so that all 2D projections of a high dimensional data set can be ordered according to relevant criteria, (2) a gene ontology browser, coupled with clustering results so that known gene functions within a cluster can be easily studied, (3) a profile search so that genes with a certain temporal pattern can be easily identified.en_US
dc.format.extent789747 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2005-68en_US
dc.titleInteractive Exploration of Multidimensional Microarray Data: Scatterplot Ordering, Gene Ontology Browser, and Profile Search (2003)en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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