Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study.
- DOI
- 10.2196/70553
- Published
- 2026-01-13
- Container
- JMIR Bioinform Biotechnol
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/70553,
title = {Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study.},
author = {Mubarak R and Anik FI and Rodriguez JT and Sakib N and Rahman MA.},
year = {2026},
journal = {JMIR Bioinform Biotechnol},
doi = {10.2196/70553},
url = {https://doi.org/10.2196/70553}
}RIS
TY - JOUR TI - Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study. AU - Mubarak R AU - Anik FI AU - Rodriguez JT AU - Sakib N AU - Rahman MA. PY - 2026 JO - JMIR Bioinform Biotechnol DO - 10.2196/70553 UR - https://doi.org/10.2196/70553 ER -
APA
R, M., FI, A., JT, R., N, S., & MA., R. (2026). Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study.. JMIR Bioinform Biotechnol. https://doi.org/10.2196/70553
Source records
- europe-pmc · retrieved 2026-09-25T12:19:38.328Z
- doaj · retrieved 2026-09-25T12:19:38.338Z