Dual molecular and clinical machine-learning prognostic modeling in pancreatic ductal adenocarcinoma: a chaperone-mediated autophagy-based framework integrating multi-cohort molecular signatures and a single-center clinical nomogram.
- DOI
- 10.3389/fcell.2026.1939520
- Published
- 2026
- Container
- Frontiers in cell and developmental biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fcell.2026.1939520,
title = {Dual molecular and clinical machine-learning prognostic modeling in pancreatic ductal adenocarcinoma: a chaperone-mediated autophagy-based framework integrating multi-cohort molecular signatures and a single-center clinical nomogram.},
author = {Kou Q and Qiao S and Liu Z and Wu Z and Zhao W and Zhang X},
year = {2026},
journal = {Frontiers in cell and developmental biology},
doi = {10.3389/fcell.2026.1939520},
url = {https://doi.org/10.3389/fcell.2026.1939520}
}RIS
TY - JOUR TI - Dual molecular and clinical machine-learning prognostic modeling in pancreatic ductal adenocarcinoma: a chaperone-mediated autophagy-based framework integrating multi-cohort molecular signatures and a single-center clinical nomogram. AU - Kou Q AU - Qiao S AU - Liu Z AU - Wu Z AU - Zhao W AU - Zhang X PY - 2026 JO - Frontiers in cell and developmental biology DO - 10.3389/fcell.2026.1939520 UR - https://doi.org/10.3389/fcell.2026.1939520 ER -
APA
Q, K., S, Q., Z, L., Z, W., W, Z., & X, Z. (2026). Dual molecular and clinical machine-learning prognostic modeling in pancreatic ductal adenocarcinoma: a chaperone-mediated autophagy-based framework integrating multi-cohort molecular signatures and a single-center clinical nomogram.. Frontiers in cell and developmental biology. https://doi.org/10.3389/fcell.2026.1939520
Source records
- pubmed · retrieved 2026-09-25T04:16:07.640Z