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IAPR International Conference on Pattern Recognition in Bioinformatics

PRIB 2012: Pattern Recognition in Bioinformatics pp 198–209Cite as

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Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine

Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine

  • Yifeng Li23 &
  • Alioune Ngom23 
  • Conference paper
  • 1633 Accesses

  • 2 Citations

Part of the Lecture Notes in Computer Science book series (LNBI,volume 7632)

Abstract

High throughput mass spectrometry technique has been extensively studied for the diagnosis of cancers. The detection of the pancreatic cancer at a very early stage is important to heal patients, but is very difficult due to biological and computational challenges. This paper proposes a simple classification approach which can be applied to the premalignant pancreatic cancer detection using mass spectrometry technique. Computational experiments show that our method outperforms the benchmark methods in accuracy and sensitivity without resorting to any biomarker selection, and the comparison with previous works shows that our method can obtain competitive performance.

Keywords

  • mass spectrometry
  • pancreatic cancer
  • classification
  • high dimensional linear machine

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Author information

Authors and Affiliations

  1. School of Computer Sciences, University of Windsor, 5115 Lambton Tower, 401 Sunset Avenue, Windsor, Ontario, N9B 3P4, Canada

    Yifeng Li & Alioune Ngom

Authors
  1. Yifeng Li
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  2. Alioune Ngom
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Editor information

Editors and Affiliations

  1. Institute of Medical Science, University of Tokyo, 4-6-1, Shirokanedai, 108-8639, Minato-ku, Tokyo, Japan

    Tetsuo Shibuya

  2. Department of Mathematical Informatics, The University of Tokyo, 7-3-1 Hongo, 113-8654, Bunkyo-ku, Tokyo, Japan

    Hisashi Kashima

  3. Department of Comouter Science, Tokyo Institute of Technology, 2-12-1 Ookayamama, 152-8550, Meguro-ku, Tokyo, Japan

    Jun Sese

  4. Bioinformatics Project, National Institute of Biomedical Innovation, 7-6-8 Saito-Asagi, 567-0085, Suita, Osaka, Japan

    Shandar Ahmad

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, Y., Ngom, A. (2012). Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine. In: Shibuya, T., Kashima, H., Sese, J., Ahmad, S. (eds) Pattern Recognition in Bioinformatics. PRIB 2012. Lecture Notes in Computer Science(), vol 7632. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34123-6_18

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  • DOI: https://doi.org/10.1007/978-3-642-34123-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34122-9

  • Online ISBN: 978-3-642-34123-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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