Development of Predictive Signatures for Treatment Selection in Precision Medicine

Un Jung Lee, ShengLi Tzeng, Yu-Chuan Chen and James J Chen
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Un Jung Lee: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, USA
ShengLi Tzeng: Department of Public Health, China Medical University, Taiwan
Yu-Chuan Chen: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, USA
James J Chen: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, USA

Biostatistics and Biometrics Open Access Journal, 2017, vol. 2, issue 4, 83-88

Abstract: Precision medicine applies molecular technologies and statistical methods to identify biomarkers that indicate differential disease out comes or treatment responses for better matching of disease with specific therapies to optimize treatment assignment. The success of precision medicine lies in the development of biomarker-based treatment selection strategy to identify right patients for the right treatment.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:2:y:2017:i:4:p:83-88

DOI: 10.19080/BBOAJ.2017.02.555594

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