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A Diagnostic Test for Prostate Cancer From Gene Expression Profiling Data

The Journal of Urology, ISSN: 0022-5347, Vol: 171, Issue: 2, Page: 903-906
2004
  • 35
    Citations
  • 0
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  • 10
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  • 0
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Metric Options:   Counts1 Year3 Year

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Article Description

Multiple recent studies show excellent classification accuracy using bioinformatics tools applied to expression profiling data on various tumors. However, the clinical applicability of these techniques remains unfulfilled because of difficulty in translating complex multigene mathematical algorithms into reproducible, platform independent tests. We recently developed a broadly applicable platform independent method based on simple ratios of gene expression to diagnose and predict outcome in cancer. In the current study we applied this technique to the diagnosis of prostate cancer.

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