DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.

Mohammadamin Moragheb, Alireza Dehghan, Parvin Razzaghi, Sajjad Gharaghani

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DOI: 10.1371/journal.pone.0348908
Published: 0
Container: PLoS ONE
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Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0348908,
  title = {DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.},
  author = {Mohammadamin Moragheb and Alireza Dehghan and Parvin Razzaghi and Sajjad Gharaghani},
  year = {2026},
  journal = {PLoS ONE},
  doi = {10.1371/journal.pone.0348908},
  url = {https://doi.org/10.1371/journal.pone.0348908}
}

RIS

TY  - JOUR
TI  - DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.
AU  - Mohammadamin Moragheb
AU  - Alireza Dehghan
AU  - Parvin Razzaghi
AU  - Sajjad Gharaghani
PY  - 2026
JO  - PLoS ONE
DO  - 10.1371/journal.pone.0348908
UR  - https://doi.org/10.1371/journal.pone.0348908
ER  -

APA

Moragheb, M., Dehghan, A., Razzaghi, P., & Gharaghani, S. (2026). DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.. PLoS ONE. https://doi.org/10.1371/journal.pone.0348908

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doaj · retrieved 2026-09-25T05:14:40.060Z