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Cross-study validation and combined analysis of gene expression microarray data.

Elizabeth Garrett-Mayer1, Giovanni Parmigiani, Xiaogang Zhong

  • 1Division of Biostatistics, The Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA. garrettm@musc.edu

Biostatistics (Oxford, England)
|September 18, 2007
PubMed
Summary
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This study introduces data analysis tools to validate and integrate microarray findings across studies. These methods help identify reliable genomic subsets for human illness research, enhancing reproducibility.

Area of Science:

  • Genomics
  • Bioinformatics
  • Human Biology

Background:

  • Transcript level investigations using hybridization-based arrays have advanced human illness biology understanding.
  • Discrepancies in microarray study results raise concerns about reproducibility and data reliability.

Purpose of the Study:

  • To present data analysis and visualization tools for assessing study reproducibility.
  • To integrate findings from multiple microarray studies into a single analysis.
  • To identify reliable genomic subsets within diverse human illness studies.

Main Methods:

  • Development of simple and effective data analysis and visualization tools.
  • Application of these tools to breast cancer studies.
  • Creation of cross-platform, cross-study expression measures.

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Main Results:

  • Identification of biologically relevant genomic subsets with reliable hybridization results.
  • Demonstration that reliable subsets vary by platform, tissue, and population.
  • Confirmation that simple expression measures allow comparison across diverse studies.
  • Preservation or enhancement of important biological signals through cross-study analysis.

Conclusions:

  • Cross-study validation and combination of microarray results are feasible with careful statistical approaches.
  • These methods can become a routine component of genomic analysis.
  • Reproducibility and reliability of genomic data can be improved, advancing human illness research.