Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data
- DOI
- 10.1038/s41598-026-37086-w
- Published
- 2026-01-29
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-37086-w,
title = {Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data},
author = {Yi Wei Tye and XinYing Chew and Umi Kalsom Yusof and Samat Tulpar},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-37086-w},
url = {https://doi.org/10.1038/s41598-026-37086-w}
}RIS
TY - JOUR TI - Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data AU - Yi Wei Tye AU - XinYing Chew AU - Umi Kalsom Yusof AU - Samat Tulpar PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-37086-w UR - https://doi.org/10.1038/s41598-026-37086-w ER -
APA
Tye, Y. W., Chew, X., Yusof, U. K., & Tulpar, S. (2026). Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data. Scientific Reports. https://doi.org/10.1038/s41598-026-37086-w
Source records
- crossref · retrieved 2026-11-10T21:08:36.412Z