Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration
We developed and validated a lymphatics-associated genes diagnostic model by machine learning algorithms that effectively identify IVDD patients. These five key LAGs may be potential therapeutic targets for IVDD patients.
Authors
- Haiyu Zhou
- Yabin Wang (ORCID: https://orcid.org/0000-0002-7568-3518)
- Fengyu Hu (ORCID: https://orcid.org/0000-0002-8649-7913)
- Pengjie Song
- Qiang Zhang (ORCID: https://orcid.org/0000-0003-0325-6717)
- Maoqiang Lin (ORCID: https://orcid.org/0000-0003-0041-0539)
- Zheng Guan (ORCID: https://orcid.org/0000-0001-8617-8114)
- Shaolong Li (ORCID: https://orcid.org/0009-0009-9252-5405)
Institutions
- Lanzhou University Second Hospital (CN)
- Gansu Provincial Center for Disease Control and Prevention (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-12-04
- DOI
- https://doi.org/10.3389/fimmu.2024.1441028
- Citations
- 4
- Primary Topic
- Spine and Intervertebral Disc Pathology
- Type
- article
- Field-Weighted Citation Impact
- 1.70
Funders
- Natural Science Foundation of Gansu Province