Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods

Briefings in Bioinformatics

Volumn 9, Issue 2, 2008, Pages 129-143

  Villmann, Thomas ^a   Schleif, Frank michael ^b   Kostrzewa, Markus ^c   Walch, Axel ^d   Hammer, Barbara ^e  

^a UNIVERSITY OF LEIPZIG   (Germany)

^b UNIVERSITY HOSPITAL LEIPZIG   (Germany)

^c Molecular Biology R and D

^d INSTITUTE OF EPIDEMIOLOGY   (Germany)

^e CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Class visualization; Classification; Fuzzy labeled self organizing map; Machine learning; Mass spectrometry; Vector quantization

Indexed keywords

ARTICLE; BREAST CANCER; CELL POPULATION; CLASSIFICATION ALGORITHM; COMPUTER PROGRAM; DATA ANALYSIS; DECISION SUPPORT SYSTEM; DISCRIMINANT ANALYSIS; FUZZY SYSTEM; GAS; HUMAN; LEARNING ALGORITHM; LINEAR SYSTEM; LISTERIA; LISTERIA GRAYI; LISTERIA INNOCUA; LISTERIA IVANOVII; LISTERIA MONOCYTOGENES; LISTERIA SEELIGERI; LISTERIA WELSHIMERI; LISTERIACEAE; MACHINE LEARNING; MASS SPECTROMETRY; MATHEMATICAL COMPUTING; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS; QUANTITATIVE ANALYSIS; TISSUE SECTION;

ALGORITHMS; BACTERIA; BREAST; COMPUTING METHODOLOGIES; DATA INTERPRETATION, STATISTICAL; FEMALE; FUZZY LOGIC; HUMANS; MASS SPECTROMETRY; MATHEMATICS; MODELS, STATISTICAL; NEOPLASMS; PROTEOMICS;

LISTERIA;

EID: 42049122152     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbn009     Document Type: Article

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