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Brief Communication
Nature Methods - 4, 911 - 913 (2007)
Published online: 30 September 2007; | doi:10.1038/nmeth1102

A gene expression bar code for microarray data

Michael J Zilliox1, 3 & Rafael A Irizarry2

1  W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, Maryland 21205, USA.

2  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, Maryland 21205, USA.

3  Present address: Emory Vaccine Center and Department of Microbiology and Immunology, Emory University School of Medicine, 1510 Clifton Road, Atlanta, Georgia 30322, USA.

Correspondence should be addressed to Rafael A Irizarry ririzarr@jhsph.edu

The ability to measure genome-wide expression holds great promise for characterizing cells and distinguishing diseased from normal tissues. Thus far, microarray technology has been useful only for measuring relative expression between two or more samples, which has handicapped its ability to classify tissue types. Here we present a method that can successfully predict tissue type based on data from a single hybridization. A preliminary web-tool is available online (http://rafalab.jhsph.edu/barcode/).

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Nature Methods
ISSN: 1548-7091
EISSN: 1548-7105
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