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...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
izdano v:Arthritis Res Ther
Main Authors: Poppenberg, Kerry E., Jiang, Kaiyu, Li, Lu, Sun, Yijun, Meng, Hui, Wallace, Carol A., Hennon, Teresa, Jarvis, James N.
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2019
Teme:
Research Article
Online dostop: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
Oznake: Označite
Brez oznak, prvi označite!

Podobne knjige/članki