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...

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Detalles Bibliográficos
Autores principales: Foulquier, Nathan, Le Dantec, Christelle, Bettacchioli, Eleonore, Jamin, Christophe, Alarcón‐Riquelme, Marta E., Pers, Jacques‐Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2022
Materias:
Autoimmunity
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

Internet

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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