PAM clustering algorithm based on mutual information matrix for ATR-FTIR spectral feature selection and disease diagnosis

The ATR-FTIR spectral data represent a valuable source of information in a wide range of pathologies, including neurological disorders, and can be used for disease discrimination. To this end, the identification of the potential spectral biomarkers among all possible candidates is needed, but the am...

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Vydáno v:	BMC medical research methodology Ročník 25; číslo 1; s. 225 - 13
Hlavní autoři:	Condino, Francesca, Crocco, Maria Caterina, Guzzi, Rita
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 01.10.2025 BioMed Central Ltd Springer Nature B.V BMC
Témata:	Algorithms Cluster Analysis Clustering Clustering Algorithms Data analysis Dependence Diagnosis Disease Diseases Dissimilarity measure Feature selection Fourier transform infrared spectroscopy Health Sciences High-dimensional statistics and omics data analysis Humans Italy Lipids Medical diagnosis Medical research Medicine Medicine & Public Health Medicine, Experimental Methods Multiple Sclerosis - diagnosis Neurological disorders Physiological aspects Principal components analysis Random variables Shannon entropy Spectroscopy, Fourier Transform Infrared - methods Spectrum analysis Statistical Theory and Methods Statistics for Life Sciences Theory of Medicine/Bioethics Italy Shannon entropy Feature selection Dissimilarity measure Clustering Dependence
ISSN:	1471-2288, 1471-2288
On-line přístup:	Získat plný text
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