Screening of genes co-associated with osteoporosis and chronic HBV infection based on bioinformatics analysis and machine learning
This study successfully identified HRGs and developed an efficient diagnostic model based on HRGs, demonstrating high accuracy and strong predictive performance across multiple datasets. This research not only offers new insights into the complex relationship between OP and CBI but also establishes a foundation for the development of early diagnostic and personalized treatment strategies for chronic HBV-related OP.
Authors
- Bei Jiang (ORCID: https://orcid.org/0000-0002-4036-0735)
- Linjian Tong
- Weiguang Yang (ORCID: https://orcid.org/0000-0003-3324-4346)
- Yue Hu
- Jia Yang (ORCID: https://orcid.org/0009-0001-4722-033X)
- Zhiming Sun
- Rui Liu (ORCID: https://orcid.org/0009-0002-6467-8577)
- Lice Liu
Institutions
- Tianjin Medical University General Hospital (CN)
- Second Hospital of Tianjin Medical University (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-09-16
- DOI
- https://doi.org/10.3389/fimmu.2024.1472354
- Citations
- 8
- Primary Topic
- Bone Metabolism and Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- Natural Science Foundation of Tianjin City
- Tianjin Science and Technology Program