Discovering biomarkers for myocardial infarction from SELDI-TOF spectra

Christian Höner Zu Siederdissen, Susanne Ragg, Sven Rahmann

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

1 Citation (Scopus)

Abstract

We describe a three-step procedure to separate patients with myocardial infarction from a control group based on SELDI-TOF mass spectra. The procedure returns features ("biomarkers") that are strongly present in one of the two groups. These features should allow future subjects to be classified as at-risk of myocardial infarction. The algorithm uses morphological operations to reduce noise in the input data as well as for performing baseline correction. In contrast to previous approaches on SELDI-TOF spectra, we avoid black-box machine learning procedures and use only features (protein masses) that are easy to interpret.

Original languageEnglish
Title of host publicationStudies in Classification, Data Analysis, and Knowledge Organization
Pages569-576
Number of pages8
StatePublished - 2007
Event30th Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation) on Advances in Data Analysis, GfKl 2006 - Berlin, Germany
Duration: Mar 8 2006Mar 10 2006

Other

Other30th Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation) on Advances in Data Analysis, GfKl 2006
CountryGermany
CityBerlin
Period3/8/063/10/06

Fingerprint

Myocardial Infarction
Biomarkers
Learning systems
Proteins
Morphological Operations
Black Box
Baseline
Machine Learning
Protein
Myocardial infarction

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Analysis

Cite this

Höner Zu Siederdissen, C., Ragg, S., & Rahmann, S. (2007). Discovering biomarkers for myocardial infarction from SELDI-TOF spectra. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 569-576)

Discovering biomarkers for myocardial infarction from SELDI-TOF spectra. / Höner Zu Siederdissen, Christian; Ragg, Susanne; Rahmann, Sven.

Studies in Classification, Data Analysis, and Knowledge Organization. 2007. p. 569-576.

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

Höner Zu Siederdissen, C, Ragg, S & Rahmann, S 2007, Discovering biomarkers for myocardial infarction from SELDI-TOF spectra. in Studies in Classification, Data Analysis, and Knowledge Organization. pp. 569-576, 30th Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation) on Advances in Data Analysis, GfKl 2006, Berlin, Germany, 3/8/06.
Höner Zu Siederdissen C, Ragg S, Rahmann S. Discovering biomarkers for myocardial infarction from SELDI-TOF spectra. In Studies in Classification, Data Analysis, and Knowledge Organization. 2007. p. 569-576
Höner Zu Siederdissen, Christian ; Ragg, Susanne ; Rahmann, Sven. / Discovering biomarkers for myocardial infarction from SELDI-TOF spectra. Studies in Classification, Data Analysis, and Knowledge Organization. 2007. pp. 569-576
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