title: Pattern recognition approaches for classifying proteomic mass spectra of biofluids.
abstract: The statistical classification strategy we have developed for magnetic resonance, infrared, and Raman spectra for the analysis of biomedical data is discussed, particularly as it applies to proteomic mass spectra. A general discussion of the current use of pattern recognition methods is given, with caveats and suggestions relevant for clinical applicability.
authors.affiliation: Biomedical Informatics Institute for Biodiagnostics, National Research Council, Winnipeg, Manitoba, Canada.
authors.forename: Ray L
authors.initials: RL
authors.lastname: Somorjai
mesh_terms: D001826:Body Fluids / Q000737:chemistry*; D006801:Humans; D013058:Mass Spectrometry / Q000706:statistics & numerical data*; D010363:Pattern Recognition, Automated / Q000379:methods*; D020543:Proteome / Q000032:analysis / Q000145:classification; D040901:Proteomics / Q000706:statistics & numerical data*; D012985:Software Design
chemical_list: D020543:Proteome