Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification.
- DOI
- 10.1186/s13040-025-00503-3
- Published
- 2025 Nov 18
- Container
- BioData mining
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13040-025-00503-3,
title = {Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification.},
author = {Yaqoob A and Mir MA and Lakshmi RV and Pradhan T and Rao GVVJ and Tejani GG and Shah MA},
year = {2025},
journal = {BioData mining},
doi = {10.1186/s13040-025-00503-3},
url = {https://doi.org/10.1186/s13040-025-00503-3}
}RIS
TY - JOUR TI - Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification. AU - Yaqoob A AU - Mir MA AU - Lakshmi RV AU - Pradhan T AU - Rao GVVJ AU - Tejani GG AU - Shah MA PY - 2025 JO - BioData mining DO - 10.1186/s13040-025-00503-3 UR - https://doi.org/10.1186/s13040-025-00503-3 ER -
APA
A, Y., MA, M., RV, L., T, P., GVVJ, R., GG, T., & MA, S. (2025). Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification.. BioData mining. https://doi.org/10.1186/s13040-025-00503-3