Key RNA-binding proteins in renal fibrosis: a comprehensive bioinformatics and machine learning framework for diagnostic and therapeutic insights
his study identifies novel RBPs associated with renal fibrosis, advancing the understanding of its pathogenesis and offering actionable biomarkers and therapeutic targets. The integration of bioinformatics and machine learning emphasizes their translational potential in kidney care.
Authors
- Ronghua Fang (ORCID: https://orcid.org/0000-0003-2302-8826)
- Ziyu Ren (ORCID: https://orcid.org/0000-0002-1802-3230)
- Binghan Zhang (ORCID: https://orcid.org/0000-0002-7562-6417)
- Qixuan Huang (ORCID: https://orcid.org/0000-0002-6470-0466)
- Dongfang Liu (ORCID: https://orcid.org/0000-0002-8801-2190)
- Jie Chen (ORCID: https://orcid.org/0000-0001-5507-235X)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-02-16
- DOI
- https://doi.org/10.1080/0886022x.2025.2463560
- Citations
- 1
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35