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Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Stumpf, Michael P.H.

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

Rafael A Irizarry1 / Siew Loon Ooi2 / Zhijin Wu3 / Jef D Boeke4

1Johns Hopkins University

2Johns Hopkins University

3Johns Hopkins University

4Johns Hopkins University

Citation Information: Statistical Applications in Genetics and Molecular Biology. Volume 2, Issue 1, ISSN (Online) 1544-6115, DOI: 10.2202/1544-6115.1002, March 2003

Publication History

Published Online:

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.

Keywords: Differential Representation; Mixture Model; Oligonucleotide Microarray; Weighted z-test

Citing Articles

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