Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning

These genes can be utilized as potential molecular biomarkers, offering valuable insights for the early diagnosis and personalized treatment of JIA polyarticular patients.

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Publication Details

Journal
Autoimmunity
Published
2024-12-19
DOI
https://doi.org/10.1080/08916934.2024.2437239
Citations
4
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
Field-Weighted Citation Impact
1.82

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article

Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning

Pingxi Wang, Jianhui Fan, Hongxiang Duan, Junfeng Liu et al.
4 citations
Autoimmunity
Autoimmune and Inflammatory Disorders Research
1.82
article

Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning

Pingxi Wang, Jianhui Fan, Hongxiang Duan, Junfeng Liu, Weihua Zhang, Guoming Chen
article en
4 citations

Abstract

These genes can be utilized as potential molecular biomarkers, offering valuable insights for the early diagnosis and personalized treatment of JIA polyarticular patients.

AutoimmunityVol. 58(1)
North Sichuan Medical University (CN), Chulalongkorn University (TH), Dazhou Central Hospital (CN), Chengdu University of Traditional Chinese Medicine (CN)
Natural Science Foundation of Guangxi Zhuang Autonomous Region, National Natural Science Foundation of China
Openalex Percentile: Top 13%
Autoimmune and Inflammatory Disorders Research
1.82
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