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Organizing a Competition on Clinical Mass Spectrometry Based Proteomic Diagnosis


  • Mertens Bart

    (Leiden University Medical Centre)


This paper gives a description of the structure of the classification competition on mass spectrometry proteomic data which is presented in this issue. All steps according to which the competition was run, leading up to the joint meeting, are explained. The paper gives further details on the data analyzed by all participants. This includes information on the preprocessing steps carried out, with references to appropriate sources describing algorithms used, dimensionalities, definition of calibration and validation sets, sample and group sizes and a description of which data and information was made available to participants. The paper starts with a review of mass spectrometry proteomics from a statistical and bioinformatic viewpoint. We conclude with a discussion on the nature of the competition and some of the decisions made in implementing it.

Suggested Citation

  • Mertens Bart, 2008. "Organizing a Competition on Clinical Mass Spectrometry Based Proteomic Diagnosis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(2), pages 1-20, February.
  • Handle: RePEc:bpj:sagmbi:v:7:y:2008:i:2:n:3

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    References listed on IDEAS

    1. Wolfgang P. Lehrach & Dirk Husmeier, 2009. "Segmenting bacterial and viral DNA sequence alignments with a trans-dimensional phylogenetic factorial hidden Markov model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(3), pages 307-327.
    2. R. J. Boys & D. A. Henderson & D. J. Wilkinson, 2000. "Detecting homogeneous segments in DNA sequences by using hidden Markov models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(2), pages 269-285.
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