Journal
JOURNAL OF BIOPHOTONICS
Volume 7, Issue 3-4, Pages 254-265Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.201300190
Keywords
biomarkers; classification; data mining; Fourier-transform infrared spectroscopy; statistical data analysis; validation studies; biospectroscopy; computational framework
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Funding
- Unilever as part of Unilever's ongoing effort to develop novel ways of delivering consumer safety
- Rosemere Cancer Foundation
- Engineering and Physical Sciences Research Council (EPSRC) [EP/K023349/1]
- EPSRC [EP/K023349/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K023349/1] Funding Source: researchfish
- Natural Environment Research Council [ceh010010] Funding Source: researchfish
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FTIR spectroscopy is a powerful diagnostic tool that can also derive biochemical signatures of a wide range of cellular materials, such as cytology, histology, live cells, and biofluids. However, while classification is a well-established subject, biomarker identification lacks standards and validation of its methods. Validation of biomarker identification methods is difficult because, unlike classification, there is usually no reference biomarker against which to test the biomarkers extracted by a method. In this paper, we propose a framework to assess and improve the stability of biomarkers derived by a method, and to compare biomarkers derived by different method set-ups and between different methods by means of a proposed biomarkers similarity index. ((c) 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
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