Gene Expression Data Management: A Case Study

  • Victor M. Markowitz
  • I-Min A. Chen
  • Anthony Kosky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2287)


One of the major challenges facing scientists dealing with gene expression data is how to integrate, explore and analyze vast quantities of related data, often residing in multiple heterogeneous data repositories. In this paper we describe the problems involved in managing gene expression data and discuss how these problems have been addressed in the context of Gene Logic’s GeneExpress system. The GeneExpress system provides support for the integration of gene expression, gene annotation and sample (clinical) data with various degrees of heterogeneity, and for effective exploration of these data.


Gene Expression Data Gene Annotation Control Vocabulary Probe Array Gene Logic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Victor M. Markowitz
    • 1
  • I-Min A. Chen
    • 1
  • Anthony Kosky
    • 1
  1. 1.Gene Logic Inc.Data Management SystemsBerkeleyUSA

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