ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification

Yi Wei Tye, XinYing Chew, Umi Kalsom Yusof, Samat Tulpar

Open source

DOI: 10.1371/journal.pone.0331089
Published: 2025-09-08
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0331089,
  title = {ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification},
  author = {Yi Wei Tye and XinYing Chew and Umi Kalsom Yusof and Samat Tulpar},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0331089},
  url = {https://doi.org/10.1371/journal.pone.0331089}
}

RIS

TY  - JOUR
TI  - ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification
AU  - Yi Wei Tye
AU  - XinYing Chew
AU  - Umi Kalsom Yusof
AU  - Samat Tulpar
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0331089
UR  - https://doi.org/10.1371/journal.pone.0331089
ER  -

APA

Tye, Y. W., Chew, X., Yusof, U. K., & Tulpar, S. (2025). ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification. PLOS One. https://doi.org/10.1371/journal.pone.0331089

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crossref · retrieved 2026-11-10T21:07:28.305Z