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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Pubblicato in:Arthritis Res Ther
Autori principali: Poppenberg, Kerry E., Jiang, Kaiyu, Li, Lu, Sun, Yijun, Meng, Hui, Wallace, Carol A., Hennon, Teresa, Jarvis, James N.
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2019
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Research Article
Accesso online: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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