Interpretable classifiers of high-throughput cancer data using biological knowledge
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چکیده
منابع مشابه
Using high-throughput transcriptomic data for prognosis: a critical overview and perspectives.
Accurate prognosis and prediction of response to therapy are essential for personalized treatment of cancer. Even though many prognostic gene lists and predictors have been proposed, especially for breast cancer, high-throughput "omic" methods have so far not revolutionized clinical practice, and their clinical utility has not been satisfactorily established. Different prognostic gene lists hav...
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