Classification of mass spectrometry based protein markers by kriging error matching

Tuan D. Pham, Honghui Wang, Xiaobo Zhou, Dominik Beck, Miriam Brandl, Gerard Hoehn, Joseph Azok, Marie Luise Brennan, Stanley L. Hazen, Stephen T.C. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - Third International Conference, MDA 2008, Proceedings
Pages82-94
Number of pages13
DOIs
StatePublished - 2008
Event3rd International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, MDA 2008 - Leipzig, Germany
Duration: Jul 14 2008Jul 14 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5108 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, MDA 2008
CountryGermany
CityLeipzig
Period7/14/087/14/08

Keywords

  • Bioinformatics
  • Biomarker discovery
  • Geostatistics
  • Mass spectrometry data
  • Pattern classification
  • Proteomics

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'Classification of mass spectrometry based protein markers by kriging error matching'. Together they form a unique fingerprint.

Cite this