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Related Experiment Video

Updated: May 26, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Published on: October 11, 2018

Genomic biomarkers for a binary clinical outcome in early drug development microarray experiments.

Suzy Van Sanden1, Ziv Shkedy, Tomasz Burzykowski

  • 1Johnson & Johnson, PRD, Beerse, Belgium. svsande1@its.jnj.com

Journal of Biopharmaceutical Statistics
|December 30, 2011
PubMed
Summary

This study explores gene selection methods to identify biomarkers for binary outcomes. Researchers evaluated treatment-related and response-related genes using a modified joint model and discriminant analysis for predicting outcomes.

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Area of Science:

  • Biostatistics
  • Genomics
  • Biomarker Discovery

Background:

  • Biomarker discovery is crucial for personalized medicine.
  • Identifying genes related to treatment and response is key for predicting outcomes.
  • Existing joint models require adaptation for binary outcomes.

Purpose of the Study:

  • To develop and evaluate methods for selecting treatment-related and response-related genes as potential biomarkers.
  • To investigate the utility of these gene sets in predicting binary outcomes.
  • To address limitations of existing models in binary settings.

Main Methods:

  • Extension of a joint model for continuous responses to a binary setting.
  • Application of classical gene selection methods to identify relevant gene subgroups.
  • Utilizing discriminant analysis (DLDA) for response level prediction.

Main Results:

  • Identified methods for selecting gene sets related to treatment, response, or both.
  • Demonstrated the potential of these gene sets as biomarkers for binary outcomes.
  • Evaluated the predictive performance of selected genes using DLDA.

Conclusions:

  • Selected gene sets can serve as effective biomarkers for binary outcomes.
  • The proposed methods offer a viable approach for biomarker discovery in binary settings.
  • Further validation of these gene biomarkers is warranted.