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

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

Abstract 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...

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Bibliographic Details
Main Authors: Jianyong Liu, Ningjie Chen
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Rheumatoid arthritis
Diagnostic signature
Differentially expressed genes
Bioinformatics analysis
Random forest model
Online Access:https://doi.org/10.1186/s13018-020-02180-w

Internet

https://doi.org/10.1186/s13018-020-02180-w

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