Multi-criteria drug ranking for prostate cancer using graph-theoretic descriptors and fuzzy machine learning with MARCOS decision analysis.
- DOI
- 10.1016/j.compbiolchem.2026.109499
- Published
- 2026 Nov 3
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109499,
title = {Multi-criteria drug ranking for prostate cancer using graph-theoretic descriptors and fuzzy machine learning with MARCOS decision analysis.},
author = {Ahmed W and Raza A and Zaman S and Abbas M and Ali P},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109499},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109499}
}RIS
TY - JOUR TI - Multi-criteria drug ranking for prostate cancer using graph-theoretic descriptors and fuzzy machine learning with MARCOS decision analysis. AU - Ahmed W AU - Raza A AU - Zaman S AU - Abbas M AU - Ali P PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109499 UR - https://doi.org/10.1016/j.compbiolchem.2026.109499 ER -
APA
W, A., A, R., S, Z., M, A., & P, A. (2026). Multi-criteria drug ranking for prostate cancer using graph-theoretic descriptors and fuzzy machine learning with MARCOS decision analysis.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109499
Source records
- pubmed · retrieved 2026-11-10T11:59:03.822Z