A gene expression bar code for microarray data

Michael J. Zilliox, Rafael A. Irizarry

Research output: Contribution to journalArticlepeer-review

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/).

Original languageEnglish (US)
Pages (from-to)911-913
Number of pages3
JournalNature Methods
Volume4
Issue number11
DOIs
StatePublished - Nov 1 2007

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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