ROC curve analysis of a set of biomarkers obtained via untargeted metabolomics in serum samples from children infected with DENV compared to Control.

ROC curve analysis of a set of biomarkers obtained via untargeted metabolomics in serum samples from children infected with DENV compared to Control.

<p><b>A.</b> ROC curve view shows an area under ROC curve (AUC) of 0.962. <b>B.</b> Tester analysis shows 93% (70 out of 75) of correct classification. ROC, Receptor operating characteristics.</p>

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Dettagli Bibliografici
Autore principale:	Ricardo E. Correa Fierro (22676430) (author)
Altri autori:	Noroska Gabriela Mogollón Salazar (22676433) (author), Washington B. Cárdenas (3213597) (author), Evencio Joel Medina-Villamizar (22676436) (author), Jefferson Pastuña-Fasso (22676439) (author), Melanie Ochoa-Ocampo (21222826) (author), Giovanna Morán-Marcillo (22676442) (author), Mary Ernestina Regato Arrata (22676445) (author), Mildred Zambrano (16641645) (author), Joyce Andrade (16641648) (author), Juan Chang (8280894) (author), Saurabh Mehta (367781) (author), Fernanda Bertuccez Cordeiro (16641642) (author)
Pubblicazione:	2025
Soggetti:	Biochemistry Medicine Microbiology Cell Biology Biotechnology Cancer Virology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified receiver operating characteristic highest predictive power faster patient screening component 5 showing complex immune response serum lipid metabolome evaluate biomarker performance denv ), triggers serum lipidomics profiling new diagnostic tools div >< p disproportionately affects children assess group separation pediatric dengue fever dengue virus infection denv infected group dengue virus dengue fever lipid metabolism diagnostic methods diagnosis tools dengue research biomarker potential biomarker discovery z </ subtropical regions metabolic alterations may contribute mass spectrometry key role glycerol lipids fatty acids despite advancements curve analysis adolescents infected 68345 ). 15 ).
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