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Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants

Author

Listed:
  • Irizarry Rafael A

    (Johns Hopkins University)

  • Ooi Siew Loon

    (Johns Hopkins University)

  • Wu Zhijin

    (Johns Hopkins University)

  • Boeke Jef D

    (Johns Hopkins University)

Abstract

We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway.

Suggested Citation

  • Irizarry Rafael A & Ooi Siew Loon & Wu Zhijin & Boeke Jef D, 2003. "Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 2(1), pages 1-19, March.
    • Handle: RePEc:bpj:sagmbi:v:2:y:2003:i:1:n:1
    DOI: 10.2202/1544-6115.1002
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    Cited by:

    1. Tong, Donald D.M. & Buxser, Stephen & Vidmar, Thomas J., 2007. "Application of a mixture model for determining the cutoff threshold for activity in high-throughput screening," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 4002-4012, May.

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