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Related Experiment Videos

Statistical evaluation of SAGE libraries: consequences for experimental design.

Jan M Ruijter1, Antoine H C Van Kampen, Frank Baas

  • 1Department of Anatomy and Embryology, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands. j.m.ruijter@amc.uva.nl

Physiological Genomics
|October 31, 2002
PubMed
Summary

Comparing statistical tests for Serial Analysis of Gene Expression (SAGE) libraries reveals that SAGE300, Fisher's Exact, Z test, and Audic and Claverie tests yield similar results for gene expression analysis.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Statistical Genetics

Background:

  • Serial Analysis of Gene Expression (SAGE) is a technique for quantitative gene expression analysis.
  • Pairwise comparison of SAGE libraries is crucial for identifying differentially expressed genes.
  • Existing statistical tests face challenges due to the single-measurement nature of SAGE libraries, lacking inherent biological variation data.

Purpose of the Study:

  • To compare the performance of five different statistical tests for pairwise SAGE library analysis.
  • To determine critical values for each test to guide users in selecting appropriate methods.
  • To provide recommendations on SAGE library sizing based on test performance.

Main Methods:

  • Comparison of five pairwise statistical tests: SAGE300, Madden et al., Audic and Claverie, Fisher's Exact test, and Z test.

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  • Determination of critical values (minimum tags for significance) for each test.
  • Evaluation of test performance across SAGE libraries of equal and different sizes.

    • Main Results:

    • SAGE300, Fisher's Exact test, Z test, and Audic and Claverie tests demonstrated highly similar critical values (within 1.5%) for libraries of all sizes.
    • These four tests are considered interchangeable for most SAGE library comparisons.
    • The Madden test showed significantly higher critical values (25% increase), indicating a more conservative approach, potentially due to its variance measure.

    Conclusions:

    • SAGE300, Fisher's Exact test, Z test, and Audic and Claverie are reliable and comparable for pairwise SAGE library analysis.
    • The Madden test is more conservative and less suitable for hypothesis testing in SAGE.
    • The choice of statistical test can influence the interpretation of differential gene expression and impact SAGE library size considerations.