Measuring similarity and improving stability in biomarker identification methods applied to Fourier-transform infrared (FTIR) spectroscopy

Trevisan, Julio and Park, Juhyun and Angelov, Plamen and Ahmadzai, Abdullah and Gajjar, Ketan and Scott, Andrew D. and Carmichael, Paul L. and Martin, Frank (2014) Measuring similarity and improving stability in biomarker identification methods applied to Fourier-transform infrared (FTIR) spectroscopy. Journal of Biophotonics, 7 (3-4). pp. 254-265. ISSN 1864-063X

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Abstract

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”.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Biophotonics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1300/1300
Subjects:
?? biomarkersclassification data mining fourier-transform infrared spectroscopy statistical data analysis validation studies biospectroscopy computational frameworkgeneral biochemistry,genetics and molecular biologygeneral physics and astronomygeneral materi ??
ID Code:
70252
Deposited By:
Deposited On:
12 Aug 2014 10:16
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 09:36