A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning

Abstract excerpt

BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune rheumatic disease that carries a substantial burden for both patients and society. Early diagnosis of RA is essential to prevent disease progression and select an optimal therapeutic strategy. However, RA diagnosis is challenging, partly due to a lack of reliable biomarkers. Here, we aimed to explore the diagnostic signature and establish a predictive model...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bioinformatics and Genomic Networks
• Share to Gene expression and cancer classification
• Share to Rheumatoid Arthritis Research and Therapies