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.
Department of Medical Statistics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands. b.mertens@lumc.nl
Bart J A
BJ
Mertens
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