Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes.
- DOI
- 10.1007/s00592-026-02743-z
- Published
- 2026 Sep
- Container
- Acta diabetologica
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00592-026-02743-z,
title = {Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes.},
author = {Zeng B and Qin D and Xu X and Tao D and Jiang Y and Zhou H and Wang Y},
year = {2026},
journal = {Acta diabetologica},
doi = {10.1007/s00592-026-02743-z},
url = {https://doi.org/10.1007/s00592-026-02743-z}
}RIS
TY - JOUR TI - Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes. AU - Zeng B AU - Qin D AU - Xu X AU - Tao D AU - Jiang Y AU - Zhou H AU - Wang Y PY - 2026 JO - Acta diabetologica DO - 10.1007/s00592-026-02743-z UR - https://doi.org/10.1007/s00592-026-02743-z ER -
APA
B, Z., D, Q., X, X., D, T., Y, J., H, Z., & Y, W. (2026). Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes.. Acta diabetologica. https://doi.org/10.1007/s00592-026-02743-z
Source records
- pubmed · retrieved 2026-09-25T15:03:54.953Z