Machine learning based on metabolomics reveals potential targets and biomarkers for primary Sjogren’s syndrome

Background: Using machine learning based on metabolomics, this study aimed to construct an effective primary Sjogren’s syndrome (pSS) diagnostics model and reveal the potential targets and biomarkers of pSS. Methods: From a total of 39 patients with pSS and 38 healthy controls (HCs), serum specimens...

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Detalles Bibliográficos
Autores principales: Wang, Kai, Li, Ju, Meng, Deqian, Zhang, Zhongyuan, Liu, Shanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483105/
https://www.ncbi.nlm.nih.gov/pubmed/36133908
http://dx.doi.org/10.3389/fmolb.2022.913325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483105/
https://www.ncbi.nlm.nih.gov/pubmed/36133908
http://dx.doi.org/10.3389/fmolb.2022.913325

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