A Gene Expression Bar Code for Microarray Data

Overview

Journal Nat Methods

Specialties Biomedical Engineering
Pathology

Date 2007 Oct 2

PMID 17906632

Citations 81

Authors

Michael J Zilliox

Rafael A Irizarry

Affiliations

Soon will be listed here.

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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