METHODS FOR SCREENING, PREDICTING AND MONITORING PROSTATE CANCER
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United States of America Patent
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Issued Date -
Aug 27, 2009
app pub date -
Dec 4, 2008
filing date -
Jan 24, 2001
priority date (Note) -
Abandoned
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Abstract
Biomarkers are identified by analyzing gene expression data using support vector machines (SVM) to rank genes according to their ability to separate prostate cancer from normal tissue. Expression products of identified genes are detected in patient samples, including prostate tissue, serum, semen and urine, to screen, predict and monitor prostate cancer.
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