Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.
- DOI
- 10.1016/j.compbiolchem.2026.109154
- Published
- 2026 Oct
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109154,
title = {Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.},
author = {Le B and Nguyen DPQ and Binh DHN and Vo BL and Anh LD and Khoa Ta HD},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109154},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109154}
}RIS
TY - JOUR TI - Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures. AU - Le B AU - Nguyen DPQ AU - Binh DHN AU - Vo BL AU - Anh LD AU - Khoa Ta HD PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109154 UR - https://doi.org/10.1016/j.compbiolchem.2026.109154 ER -
APA
B, L., DPQ, N., DHN, B., BL, V., LD, A., & HD, K. T. (2026). Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109154
Source records
- pubmed · retrieved 2026-09-25T17:09:24.297Z