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Machine Learning for the Identification of a Common Signature for Anti–SSA/Ro 60 Antibody Expression Across Autoimmune Diseases
OBJECTIVE: Anti‐Ro autoantibodies are among the most frequently detected extractable nuclear antigen autoantibodies, mainly associated with primary Sjögren's syndrome (SS), systemic lupus erythematosus (SLE), and undifferentiated connective tissue disease (UCTD). This study was undertaken to de...
Autores principales: | Foulquier, Nathan, Le Dantec, Christelle, Bettacchioli, Eleonore, Jamin, Christophe, Alarcón‐Riquelme, Marta E., Pers, Jacques‐Olivier |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Periodicals, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804576/ https://www.ncbi.nlm.nih.gov/pubmed/35635731 http://dx.doi.org/10.1002/art.42243 |
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