Integrative analysis reveals shared biomarkers and pathways in osteoporosis and rheumatoid arthritis using machine learning and single-cell sequencing
- DOI
- 10.1371/journal.pone.0362219
- Published
- 2026-11-04
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0362219,
title = {Integrative analysis reveals shared biomarkers and pathways in osteoporosis and rheumatoid arthritis using machine learning and single-cell sequencing},
author = {Jin Zhao and Yixuan Chen and Fei Yang and Cheng Tian and Wenyan Luo and Zhou Su and Bohuan Yang and Wei Liu and Hongbo Yang},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0362219},
url = {https://doi.org/10.1371/journal.pone.0362219}
}RIS
TY - JOUR TI - Integrative analysis reveals shared biomarkers and pathways in osteoporosis and rheumatoid arthritis using machine learning and single-cell sequencing AU - Jin Zhao AU - Yixuan Chen AU - Fei Yang AU - Cheng Tian AU - Wenyan Luo AU - Zhou Su AU - Bohuan Yang AU - Wei Liu AU - Hongbo Yang PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0362219 UR - https://doi.org/10.1371/journal.pone.0362219 ER -
APA
Zhao, J., Chen, Y., Yang, F., Tian, C., Luo, W., Su, Z., Yang, B., Liu, W., & Yang, H. (2026). Integrative analysis reveals shared biomarkers and pathways in osteoporosis and rheumatoid arthritis using machine learning and single-cell sequencing. PLOS One. https://doi.org/10.1371/journal.pone.0362219
Source records
- crossref · retrieved 2026-11-06T17:46:08.018Z