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Abstract:
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Companion diagnostics; the foundation of personalized medicine, has become a rapidly-evolving area within the past several years. One of the keys to implementing a successful companion diagnostic lies in the ability to successfully identify the correct cutoff point for a continuous biomarker; or simultaneously for multiple biomarkers. A method for deriving a robust biomarker signature for prognostic or predictive biomarkers will be presented. The method to be presented is a tree-based ensemble statistical algorithm, called BATTing (Bootstrapping and Aggregating Thresholds from Trees). Important validation procedures will also be discussed.
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