Print Email Facebook Twitter How to distinguish healthy from diseased? Classification strategy for mass spectrometry-based clinical proteomics Title How to distinguish healthy from diseased? Classification strategy for mass spectrometry-based clinical proteomics Author Hendriks, M.M.W.B. Smit, S. Akkermans, W.L.M.W. Reijmers, T.H. Eilers, P.H.C. Hoefsloot, H.C.J. Rubingh, C.M. de Koster, C.G. Aerts, J.M. Smilde, A.K. TNO Kwaliteit van Leven Publication year 2007 Abstract SELDI-TOF-MS is rapidly gaining popularity as a screening tool for clinical applications of proteomics. Application of adequate statistical techniques in all the stages from measurement to information is obligatory. One of the statistical methods often used in proteomics is classification: the assignment of subjects to discrete categories, for example healthy or diseased. Lately, many new classification methods have been developed, often specifically for the analysis of Xomics data. For proteomics studies a good strategy for evaluating classification results is of prime importance, because usually the number of objects will be small and it would be wasteful to set aside part of these as a 'mere' test set. The present paper offers such a strategy in the form of a protocol which can be used for choosing among different statistical classification methods and obtaining figures of merit of their performance. This paper also illustrates the usefulness of proteomics in a clinical setting, serum samples from Gaucher disease patients, when used in combination with an appropriate classification method. © 2007 Wiley-VCH Verlag GmbH & Co. KGaA. Subject BiologyAnalytical researchClassificationGaucherSELDI-MSValidationadolescentadultagedarticleclinical articlecontrolled studyfemaleGaucher diseasehumanmalemass spectrometrypriority journalproteomicssensitivity and specificitystatistical analysisAdolescentAdultAgedBiological MarkersBlood ProteinsFemaleGaucher DiseaseHumansMaleMiddle AgedProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization To reference this document use: http://resolver.tudelft.nl/uuid:f31f1f61-d29f-4c0c-82a7-ec1c6aee93ba DOI https://doi.org/10.1002/pmic.200700046 TNO identifier 240209 ISSN 1615-9853 Source Proteomics, 7 (20), 3672-3680 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.