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      Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles.

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          Abstract

          DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http://www.oncomine.org.

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          Author and article information

          Journal
          Neoplasia
          Neoplasia (New York, N.Y.)
          Neoplasia Press
          1476-5586
          1476-5586
          Feb 2007
          : 9
          : 2
          Affiliations
          [1 ] Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109-0940, USA.
          Article
          10.1593/neo.07112
          1813932
          17356713
          16777dd2-3362-4ff5-bc82-8238706855c4
          History

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