Optimized cancer gene selection using armadillo optimization algorithm and support vector machine
The AOA-SVM hybrid presents a highly accurate and computationally efficient tool for cancer diagnostics, demonstrating significant potential for application in precision medicine by identifying minimal, biologically relevant gene markers.
Authors
- Abrar Yaqoob (ORCID: https://orcid.org/0009-0000-1426-0864)
- Mushtaq Ahmad Mir (ORCID: https://orcid.org/0000-0002-4388-1165)
- Mohd Asif Shah (ORCID: https://orcid.org/0000-0002-0351-9559)
Institutions
- Chandigarh University (IN)
- Kardan University (AF)
- Barkatullah University (IN)
- King Khalid University (SA)
Publication Details
- Journal
- Cancer Treatment and Research Communications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.ctarc.2025.101027
- Primary Topic
- Evolutionary Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00