Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration
- DOI
- 10.1186/s40001-025-03102-4
- Published
- 2025-09-29
- Container
- European Journal of Medical Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s40001-025-03102-4,
title = {Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration},
author = {Min Xiang and Qingping Peng and Feifei Dai and Yanjiao Wu and Ling Liu and Huan Liu},
year = {2025},
journal = {European Journal of Medical Research},
doi = {10.1186/s40001-025-03102-4},
url = {https://doi.org/10.1186/s40001-025-03102-4}
}RIS
TY - JOUR TI - Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration AU - Min Xiang AU - Qingping Peng AU - Feifei Dai AU - Yanjiao Wu AU - Ling Liu AU - Huan Liu PY - 2025 JO - European Journal of Medical Research DO - 10.1186/s40001-025-03102-4 UR - https://doi.org/10.1186/s40001-025-03102-4 ER -
APA
Xiang, M., Peng, Q., Dai, F., Wu, Y., Liu, L., & Liu, H. (2025). Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration. European Journal of Medical Research. https://doi.org/10.1186/s40001-025-03102-4
Source records
- crossref · retrieved 2026-09-27T03:15:06.325Z