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Generating Contexts for Expression Data Using Pathway Queries

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 3703)

Abstract

The measurement of gene expression data using microarrays has become a standard high throughput method in many areas of biology and medicine. Despite some issues in quality and reproducibility of microarray and derived data [3,4], microarrays are still considered one of the most promising experimental techniques for the understanding of complex molecular mechanisms, and the analysis of gene expression data is still a very active area of research in bioinformatics and statistics.

Keywords

  • Expression Data
  • Gene Expression Data
  • Biological Network
  • High Throughput Method
  • Subgraph Isomorphism

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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© 2005 Springer-Verlag Berlin Heidelberg

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Sohler, F. (2005). Generating Contexts for Expression Data Using Pathway Queries. In: Fages, F., Soliman, S. (eds) Principles and Practice of Semantic Web Reasoning. PPSWR 2005. Lecture Notes in Computer Science, vol 3703. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552222_15

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  • DOI: https://doi.org/10.1007/11552222_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28793-3

  • Online ISBN: 978-3-540-32028-9

  • eBook Packages: Computer ScienceComputer Science (R0)