CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimization.

Moragheb M, Abbasi K, Razzaghi P, Dehghan A, Gharaghani S

DOI: 10.1093/bioadv/vbag051
Published: 2026
Container: Bioinformatics advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag051,
  title = {CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimization.},
  author = {Moragheb M and Abbasi K and Razzaghi P and Dehghan A and Gharaghani S},
  year = {2026},
  journal = {Bioinformatics advances},
  doi = {10.1093/bioadv/vbag051},
  url = {https://doi.org/10.1093/bioadv/vbag051}
}

RIS

TY  - JOUR
TI  - CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimization.
AU  - Moragheb M
AU  - Abbasi K
AU  - Razzaghi P
AU  - Dehghan A
AU  - Gharaghani S
PY  - 2026
JO  - Bioinformatics advances
DO  - 10.1093/bioadv/vbag051
UR  - https://doi.org/10.1093/bioadv/vbag051
ER  -

APA

M, M., K, A., P, R., A, D., & S, G. (2026). CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimization.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbag051

Source records

pubmed · retrieved 2026-09-25T19:54:48.954Z
europe-pmc · retrieved 2026-09-25T19:54:48.971Z