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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |