4.6 Article

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

Journal

JOURNAL OF BIOPHOTONICS
Volume 7, Issue 3-4, Pages 254-265

Publisher

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

Funding

  1. Unilever as part of Unilever's ongoing effort to develop novel ways of delivering consumer safety
  2. Rosemere Cancer Foundation
  3. Engineering and Physical Sciences Research Council (EPSRC) [EP/K023349/1]
  4. EPSRC [EP/K023349/1] Funding Source: UKRI
  5. Engineering and Physical Sciences Research Council [EP/K023349/1] Funding Source: researchfish
  6. Natural Environment Research Council [ceh010010] Funding Source: researchfish

Ask authors/readers for more resources

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)

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available