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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Arthritis Res Ther
Päätekijät: Poppenberg, Kerry E., Jiang, Kaiyu, Li, Lu, Sun, Yijun, Meng, Hui, Wallace, Carol A., Hennon, Teresa, Jarvis, James N.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2019
Aiheet:
Research Article
Linkit: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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