Development and validation of a comprehensive machine learning framework for a diagnostic model of uremia based on genes involved in major depressive disorder
Our study combined bioinformatics techniques and machine learning methods to develop a diagnostic model for uremia, focusing on common genes between MDD and uremia.
Authors
- Huaxing Huang (ORCID: https://orcid.org/0000-0001-5207-072X)
- Cheng Shen (ORCID: https://orcid.org/0000-0002-6204-4143)
- Chi Zhang (ORCID: https://orcid.org/0000-0001-6872-8610)
- Xingxing Fang (ORCID: https://orcid.org/0000-0002-9060-0522)
- Kaiyao Jiang
- Bing Zheng (ORCID: https://orcid.org/0009-0004-3841-7271)
Institutions
- Xuzhou Medical College (CN)
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Nephrology
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3389/fneph.2025.1576349
- Primary Topic
- Tryptophan and brain disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nantong University