The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches

BACKGROUND: The response to treatment for juvenile idiopathic arthritis (JIA) can be staged using clinical features. However, objective laboratory biomarkers of remission are still lacking. In this study, we used machine learning to predict JIA activity from transcriptomes from peripheral blood mono...

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Detalhes bibliográficos
Publicado no:Arthritis Res Ther
Main Authors: Poppenberg, Kerry E., Jiang, Kaiyu, Li, Lu, Sun, Yijun, Meng, Hui, Wallace, Carol A., Hennon, Teresa, Jarvis, James N.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6842535/
https://ncbi.nlm.nih.gov/pubmed/31706344
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13075-019-2010-z
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