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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Detalles Bibliográficos
Autores principales: Poppenberg, Kerry E., Jiang, Kaiyu, Li, Lu, Sun, Yijun, Meng, Hui, Wallace, Carol A., Hennon, Teresa, Jarvis, James N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842535/
https://www.ncbi.nlm.nih.gov/pubmed/31706344
http://dx.doi.org/10.1186/s13075-019-2010-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842535/
https://www.ncbi.nlm.nih.gov/pubmed/31706344
http://dx.doi.org/10.1186/s13075-019-2010-z

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