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A gene expression bar code for microarray data.


ABSTRACT: 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/).

SUBMITTER: Zilliox MJ 

PROVIDER: S-EPMC3154617 | biostudies-literature | 2007 Nov

REPOSITORIES: biostudies-literature

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A gene expression bar code for microarray data.

Zilliox Michael J MJ   Irizarry Rafael A RA  

Nature methods 20070930 11


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/barco  ...[more]

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