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Quantifying Predictive Value Of Biological Data Types In Machine Learning Models Of Cancer Outcome, Samantha Jensen, Stephen Piccolo
Quantifying Predictive Value Of Biological Data Types In Machine Learning Models Of Cancer Outcome, Samantha Jensen, Stephen Piccolo
Journal of Undergraduate Research
Precision medicine is a growing movement toward utilizing molecular diagnostics to guide medical decisions. It is particularly useful when applied to cancer treatment, as knowing details about cancer stage, genetic pathology, and tumor type can inform life-saving decisions. Increasingly, physicians may use genetic, proteomic, epigenetic, and expression data to determine treatment strategy and even choose specific chemotherapy drugs1.