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

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This paper proposes a framework to assess biomarker identification stability and compare methods using a novel similarity index for Fourier-transform infrared spectroscopy.

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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".

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Condition tags

endometriosis

MeSH descriptors

Biomarkers Spectroscopy, Fourier Transform Infrared Algorithms Animals Biomarkers Brain Brain Brain Neoplasms Brain Neoplasms Brain Neoplasms Endometriosis Endometriosis Endometriosis Female Humans Mesocricetus Models, Statistical Multivariate Analysis Reproducibility of Results Spectroscopy, Fourier Transform Infrared

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Source provenance

europepmc
last seen: 2026-06-25T06:14:32.897245+00:00
pubmed
last seen: 2026-05-13T22:18:35.150238+00:00
unpaywall
last seen: 2026-06-13T06:42:57.164913+00:00
License: public-domain-us · commercial use OK · attribution required
Courtesy of the U.S. National Library of Medicine