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Development of Predictive Signatures for Treatment Selection in Precision Medicine

Author

Listed:
  • 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
    Department of Biostatistics, University of Arkansas for Medical Science, Arkansas)

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.

Suggested Citation

  • Un Jung Lee & ShengLi Tzeng & Yu-Chuan Chen & James J Chen, 2017. "Development of Predictive Signatures for Treatment Selection in Precision Medicine," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 2(4), pages 83-88, August.
    • Handle: RePEc:adp:jbboaj:v:2:y:2017:i:4:p:83-88
    DOI: 10.19080/BBOAJ.2017.02.555594
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    References listed on IDEAS

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