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Identification of potential pathogenic genes associated with the comorbidity of rheumatoid arthritis and renal fibrosis using bioinformatics and machine learning

Crossref DOI link: https://doi.org/10.1038/s41598-025-05757-9

Published Online: 2025-07-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Qiu, Jiao

Xu, Yalin

Tong, Luyuan

Yang, Xingchun

Wu, Xiao
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 81804208)

the Scientific Research Program of Southwest Medical University (No.2021ZKMS052)

Science and Technology Strategic Cooperation Program of Luzhou Municipal People’s Government and Southwest Medical University (No.2021LZXNYD-J15)
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Text and Data Mining valid from 2025-07-01

Version of Record valid from 2025-07-01
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Article History

Received: 7 January 2025

Accepted: 4 June 2025

First Online: 1 July 2025

Competing interests

: The authors declare no competing interests.

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