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Clinical Mass Spectrometry Proteomic Diagnosis by Conformal Predictors

Author

Listed:
  • Gammerman Alex

    (Royal Holloway, University of London)

  • Nouretdinov Ilia

    (Royal Holloway, University of London)

  • Burford Brian

    (Royal Holloway, University of London)

  • Chervonenkis Alexey

    (Royal Holloway, University of London)

  • Vovk Vladimir

    (Royal Holloway, University of London)

  • Luo Zhiyuan

    (Royal Holloway, University of London)

Abstract

The paper describes an application of conformal predictors to diagnose breast cancer using proteomic mass spectrometry data provided by Leiden University Medical Center. Unlike many conventional classification systems, this approach allows us not just to classify samples, but add valid measures of confidence in our predictions for individual patients.

Suggested Citation

  • Gammerman Alex & Nouretdinov Ilia & Burford Brian & Chervonenkis Alexey & Vovk Vladimir & Luo Zhiyuan, 2008. "Clinical Mass Spectrometry Proteomic Diagnosis by Conformal Predictors," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(2), pages 1-12, July.
    • Handle: RePEc:bpj:sagmbi:v:7:y:2008:i:2:n:13
    DOI: 10.2202/1544-6115.1385
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    Cited by:

    1. Hand David J, 2008. "Breast Cancer Diagnosis from Proteomic Mass Spectrometry Data: A Comparative Evaluation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(2), pages 1-23, December.

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