A review of deep learning approaches for drug synergy prediction in cancer.
- DOI
- 10.1038/s44386-025-00034-1
- Published
- 2025 Dec 16
- Container
- npj drug discovery
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s44386-025-00034-1,
title = {A review of deep learning approaches for drug synergy prediction in cancer.},
author = {Li L and Zhang H and Zheng C and Su Y},
year = {2025},
journal = {npj drug discovery},
doi = {10.1038/s44386-025-00034-1},
url = {https://doi.org/10.1038/s44386-025-00034-1}
}RIS
TY - JOUR TI - A review of deep learning approaches for drug synergy prediction in cancer. AU - Li L AU - Zhang H AU - Zheng C AU - Su Y PY - 2025 JO - npj drug discovery DO - 10.1038/s44386-025-00034-1 UR - https://doi.org/10.1038/s44386-025-00034-1 ER -
APA
L, L., H, Z., C, Z., & Y, S. (2025). A review of deep learning approaches for drug synergy prediction in cancer.. npj drug discovery. https://doi.org/10.1038/s44386-025-00034-1
Source records
- pubmed · retrieved 2026-09-26T12:37:42.255Z