Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritis

Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritis

BackgroundRheumatoid arthritis (RA) is a systemic immune-related disease characterized by synovial inflammation and destruction of joint cartilage. The pathogenesis of RA remains unclear, and diagnostic markers with high sensitivity and specificity are needed urgently. This study aims to identify po...

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Bibliographic Details
Main Authors: Ying-Kai Wu, Cai-De Liu, Chao Liu, Jun Wu, Zong-Gang Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Immunology
Subjects:
rheumatoid arthritis
hub genes
machine learning
immune cell infiltration
WGCNA
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1387311/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1387311/full

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