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Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data

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Title: Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data
Authors: Tye, Yi WeiAff1, Chew, XinYingAff1, IDs4159802637086w_cor1, Yusof, Umi KalsomAff2, Tulpar, SamatAff3
Source: Scientific Reports. 16(1)
Database: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1038/s41598-026-37086-w
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  Data: <i>Scientific Reports</i>. 16(1)
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        Value: 10.1038/s41598-026-37086-w
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      – Text: English
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      – TitleFull: Adaptive fuzzy cluster-guided simple, fast, and efficient feature selection for high-dimensional and highly imbalanced binary-class bioinformatics microarray data
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            NameFull: Tye, Yi Wei
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            NameFull: Chew, XinYing
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            NameFull: Yusof, Umi Kalsom
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            – D: 01
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              Type: published
              Y: 2026
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