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Classification of Mass Spectrometry Based Protein Markers by Kriging Error Matching

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Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5108))

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Abstract

Discovery of biomarkers using serum proteomic patterns is currently one of the most attractive interdisciplinary research areas in computational life science. This new proteomic approach has the clinical significance in being able to detect disease in its early stages and to develop new drugs for disease treatment and prevention. This paper introduces a novel pattern classification strategy for identifying protein biomarkers using mass spectrometry data of blood samples collected from patients in emergency department monitored for major adverse cardiac events within six months. We applied the theory of geostatistics and a kriging error matching scheme for identifying protein biomarkers that are able to provide an average classification rate superior to other current methods. The proposed strategy is very promising as a general computational bioinformatic model for proteomic-pattern based biomarker discovery.

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Authors and Affiliations

  1. Bioinformatics Applications Research Center, James Cook University, Townsville, QLD 4811, Australia

    Tuan D. Pham, Dominik Beck & Miriam Brandl

  2. Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA

    Honghui Wang, Gerard Hoehn & Joseph Azok

  3. Department of Radiology, Weill Cornell Medical College and Methodist Hospital Research, Houston, Texas, USA

    Xiaobo Zhou & Stephen T. C. Wong

  4. Center for Cardiovascular Diagnostics and Prevention Cleveland Clinic Foundation, Cleveland, OH 44195, USA

    Marie-Luise Brennan & Stanley L. Hazen

Authors
  1. Tuan D. Pham
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  2. Honghui Wang
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  3. Xiaobo Zhou
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  4. Dominik Beck
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  5. Miriam Brandl
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  6. Gerard Hoehn
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  7. Joseph Azok
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  8. Marie-Luise Brennan
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  9. Stanley L. Hazen
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  10. Stephen T. C. Wong
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Editor information

Petra Perner Ovidio Salvetti

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© 2008 Springer-Verlag Berlin Heidelberg

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Pham, T.D. et al. (2008). Classification of Mass Spectrometry Based Protein Markers by Kriging Error Matching. In: Perner, P., Salvetti, O. (eds) Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry. MDA 2008. Lecture Notes in Computer Science(), vol 5108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70715-8_8

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  • DOI: https://doi.org/10.1007/978-3-540-70715-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70714-1

  • Online ISBN: 978-3-540-70715-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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