Graph neural networks for multi-scale gene-drug interaction modeling in cancer: applications, challenges, and therapeutic opportunities for breast cancer drug resistance.
- DOI
- 10.3389/fonc.2026.1929697
- Published
- 2026
- Container
- Frontiers in oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2026.1929697,
title = {Graph neural networks for multi-scale gene-drug interaction modeling in cancer: applications, challenges, and therapeutic opportunities for breast cancer drug resistance.},
author = {Das PR and Rahman MJ and Nirob SR and Patwary MO and Islam MR and Islam MS and Ahmed N and Ahmed F},
year = {2026},
journal = {Frontiers in oncology},
doi = {10.3389/fonc.2026.1929697},
url = {https://doi.org/10.3389/fonc.2026.1929697}
}RIS
TY - JOUR TI - Graph neural networks for multi-scale gene-drug interaction modeling in cancer: applications, challenges, and therapeutic opportunities for breast cancer drug resistance. AU - Das PR AU - Rahman MJ AU - Nirob SR AU - Patwary MO AU - Islam MR AU - Islam MS AU - Ahmed N AU - Ahmed F PY - 2026 JO - Frontiers in oncology DO - 10.3389/fonc.2026.1929697 UR - https://doi.org/10.3389/fonc.2026.1929697 ER -
APA
PR, D., MJ, R., SR, N., MO, P., MR, I., MS, I., N, A., & F, A. (2026). Graph neural networks for multi-scale gene-drug interaction modeling in cancer: applications, challenges, and therapeutic opportunities for breast cancer drug resistance.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1929697
Source records
- pubmed · retrieved 2026-09-25T18:31:52.181Z