A gene expression bar code for microarray data
Copyright policy )A gene expression bar code for microarray data
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/).
- Johns Hopkins University United States
- Emory University United States
Electronic Data Processing, Internet, Genome, Gene Expression Profiling, Computational Biology, Breast Neoplasms, Prognosis, Mice, Databases, Genetic, Animals, Humans, Female, Algorithms, Oligonucleotide Array Sequence Analysis
Electronic Data Processing, Internet, Genome, Gene Expression Profiling, Computational Biology, Breast Neoplasms, Prognosis, Mice, Databases, Genetic, Animals, Humans, Female, Algorithms, Oligonucleotide Array Sequence Analysis
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