Proteomic diagnosis competition: design, concepts, participants and first results.
This paper present a summary and overview of an international competition on the construction of classifiers for mass spectrometry proteomic diagnosis. Design, data and preliminary results from the study are discussed.
Mertens
Bart J A
BJ
Department of Medical Statistics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands. b.mertens@lumc.nl
D000465:Algorithms; D014408:Biomarkers, Tumor / Q000378:metabolism*; D001943:Breast Neoplasms / Q000175:diagnosis / Q000378:metabolism; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D040901:Proteomics / Q000379:methods* / Q000639:trends; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D014408:Biomarkers, Tumor