Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning
This study provides a transcriptomics-based risk prediction model for the occurrence and development of CKD based on machine learning, offering potential target genes for the further experimental research of CKD.
Authors
- Bingkun Zhou
- Xiaodong Huang (ORCID: https://orcid.org/0009-0009-9274-7032)
- Shijie Liu (ORCID: https://orcid.org/0000-0003-2709-9883)
- Hu Zhou (ORCID: https://orcid.org/0000-0002-7110-7185)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-08-15
- DOI
- https://doi.org/10.3389/fcell.2025.1627355
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00