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Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data (2000)  (Make Corrections)  (18 citations)
Sandrine Dudoit, Jane Fridlyand, Terence P. Speed
Journal of the American Statistical Association



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Abstract: A reliable and precise classification of tumors is essential for successful treatment of cancer. cDNA microarrays and high-density oligonucleotide chips are novel biotechnologies which are being used increasingly in cancer research. By allowing the monitoring of expression levels for thousands of genes simultaneously, such techniques may lead to a more complete understanding of the molecular variations among tumors and hence to a finer and more informative classification. The ability to... (Update)

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BibTeX entry:   (Update)

Dudoit, S., Fridlyand, J., & Speed, T. (2000). Comparison of discrimination methods for the classification of tumors using gene expression data. Technical report 576, Department of Statistics, University of California, Berkeley. http://citeseer.ist.psu.edu/dudoit00comparison.html   More

@article{ dudoit02comparison,
    author = "Sandrine Dudoit and Jane Fridlyand and Terence P. Speed",
    title = "Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data",
    journal = "Journal of the American Statistical Association",
    volume = "97",
    number = "457",
    pages = "77--87",
    year = "2002",
    url = "citeseer.ist.psu.edu/dudoit00comparison.html" }
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