Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data

OBJECTIVE. In this study, we sought to refine histologic scoring of rheumatoid arthritis (RA) synovial tissue by training with gene expression data and machine learning. METHODS. Twenty histologic features were assessed in 129 synovial tissue samples (n = 123 RA patients and n = 6 osteoarthritis [OA...

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Gepubliceerd in:Arthritis Rheumatol
Hoofdauteurs: Orange, Dana E., Agius, Phaedra, DiCarlo, Edward F., Robine, Nicolas, Geiger, Heather, Szymonifka, Jackie, McNamara, Michael, Cummings, Ryan, Andersen, Kathleen M., Mirza, Serene, Figgie, Mark, Ivashkiv, Lionel B., Pernis, Alessandra B., Jiang, Caroline S., Frank, Mayu O., Darnell, Robert B., Lingampali, Nithya, Robinson, William H., Gravallese, Ellen, Bykerk, Vivian P., Goodman, Susan M., Donlin, Laura T.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2018
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6336443/
https://ncbi.nlm.nih.gov/pubmed/29468833
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/art.40428
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