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Main Authors: Wu, Xiao-Xia, Ban, Wan-Li, Wu, Li-Jiang, Qi, Wen-Jing, Borhani, Mehdi, He, Xiao-Ying, Liu, Xiao-Lei, Liu, Ming-Yuan, Ding, Jing
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Published: Zenodo 2024
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Online Access:https://doi.org/10.5281/zenodo.14684355
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author Wu, Xiao-Xia
Ban, Wan-Li
Wu, Li-Jiang
Qi, Wen-Jing
Borhani, Mehdi
He, Xiao-Ying
Liu, Xiao-Lei
Liu, Ming-Yuan
Ding, Jing
author_facet Wu, Xiao-Xia
Ban, Wan-Li
Wu, Li-Jiang
Qi, Wen-Jing
Borhani, Mehdi
He, Xiao-Ying
Liu, Xiao-Lei
Liu, Ming-Yuan
Ding, Jing
contents Fig. 4 ROC analysis of potential biomarkers and determination of the predictive power of differentially abundant metabolites. a 2-Methylbutyrylglycine, b 3,3-dimethylglutaric acid, c 1,7-dihydroxyxanthone, d trimethylamine N-oxide, e 9-hydroperoxy-10E,12Z,15Z-octadecat rienoic acid, f 5,12-dihydroxy-6,8,10,14,17-eicosapentaenoic acid. AUC values closer to 1 indicate improved diagnostic effectiveness, while an AUC of 0.5 signifies complete ineffectiveness and lack of diagnostic value
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14684355
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle Fig. 4 in Identification of serum biomarkers for cystic echinococcosis in sheep through untargeted metabolomic analysis using LC-MS/MS technology
Wu, Xiao-Xia
Ban, Wan-Li
Wu, Li-Jiang
Qi, Wen-Jing
Borhani, Mehdi
He, Xiao-Ying
Liu, Xiao-Lei
Liu, Ming-Yuan
Ding, Jing
Biodiversity
Taxonomy
Fig. 4 ROC analysis of potential biomarkers and determination of the predictive power of differentially abundant metabolites. a 2-Methylbutyrylglycine, b 3,3-dimethylglutaric acid, c 1,7-dihydroxyxanthone, d trimethylamine N-oxide, e 9-hydroperoxy-10E,12Z,15Z-octadecat rienoic acid, f 5,12-dihydroxy-6,8,10,14,17-eicosapentaenoic acid. AUC values closer to 1 indicate improved diagnostic effectiveness, while an AUC of 0.5 signifies complete ineffectiveness and lack of diagnostic value
title Fig. 4 in Identification of serum biomarkers for cystic echinococcosis in sheep through untargeted metabolomic analysis using LC-MS/MS technology
topic Biodiversity
Taxonomy
url https://doi.org/10.5281/zenodo.14684355