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A simple procedure for estimating the false discovery rate.

Cyril Dalmasso1, Philippe Broët, Thierry Moreau

  • 1INSERM U472, Faculté de Médecine Paris-Sud 16 Avenue Paul Vaillant-Couturier, 94807 Villejuif Cedex, France.

Bioinformatics (Oxford, England)
|October 14, 2004
PubMed
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This study introduces a new method for estimating pi0, the proportion of unmodified genes, crucial for accurate false discovery rate (FDR) calculations in microarray analysis. The Location Based Estimator (LBE) offers improved performance and accuracy compared to existing methods.

Area of Science:

  • Bioinformatics
  • Statistical Genetics
  • Computational Biology

Background:

  • Microarray data analysis commonly utilizes the false discovery rate (FDR) to interpret results.
  • Current FDR estimation methods can be conservatively biased due to limitations in estimating pi0, the proportion of unmodified genes.
  • Accurate estimation of pi0 is essential for reliable FDR calculation.

Purpose of the Study:

  • To propose a novel family of estimators for pi0.
  • To enable the calculation of FDR using improved pi0 estimation.
  • To introduce the Location Based Estimator (LBE) for pi0 estimation.

Main Methods:

  • Development of a new family of estimators for pi0.
  • Introduction and evaluation of the Location Based Estimator (LBE).

Related Experiment Videos

  • Comparison of LBE with existing methods (QVALUE, BUM, SPLOSH) via simulations and real datasets.

    • Main Results:

    • The Location Based Estimator (LBE) is a simple and effective method for estimating pi0.
    • LBE demonstrates good performance in finite sample scenarios.
    • LBE exhibits superior mean square error compared to QVALUE, BUM, and SPLOSH in most cases.

    Conclusions:

    • The proposed LBE method provides a more accurate estimation of pi0.
    • This improved estimation facilitates more reliable FDR calculations in microarray analysis.
    • LBE offers a valuable tool for researchers analyzing gene expression data.