A gene expression bar code for microarray data
MJ Zilliox, RA Irizarry - Nature methods, 2007 - nature.com
MJ Zilliox, RA Irizarry
Nature methods, 2007•nature.comThe 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/).
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/).
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/).
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