Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy
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چکیده
Efficient predictors of the response to chemotherapy is an important issue because such predictors would make it possible to give the patients the most appropriate chemotherapy regimen. DNA microarrays appear to be of high interest for the design of such predictors. In this article we propose bayesian classifiers taking as input the expression levels of DNA probes, and a ‘filtering’ method for DNA probes selection.
منابع مشابه
Secretory clusterin (sCLU) overexpression is associated with resistance to preoperative neoadjuvant chemotherapy in primary breast cancer.
OBJECTIVES Preoperative chemotherapy is often used in patients with locally advanced breast cancer. However, commonly used clinical and pathological parameters are poor predictors of response to this type of therapy. The secreted form of the CLU protein (sCLU) is a glycosylated protein of 76-80 kDa. It has become increasingly clear that in most cells sCLU is a stress-associated cytoprotective p...
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تاریخ انتشار 2008