Journal of Undergraduate Research
Keywords
biological data types, cancer, predictive value, medicine
College
Life Sciences
Department
Biology
Abstract
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.
Recommended Citation
Jensen, Samantha and Piccolo, Stephen
(2019)
"Quantifying predictive value of biological data types in machine learning models of cancer outcome,"
Journal of Undergraduate Research: Vol. 2019:
Iss.
2019, Article 104.
Available at:
https://scholarsarchive.byu.edu/jur/vol2019/iss2019/104