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Social spider optimization with mutual information for high-accuracy cancer classification: a hybrid gene selection framework

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Τίτλος: Social spider optimization with mutual information for high-accuracy cancer classification: a hybrid gene selection framework
Συγγραφείς: Cherif, ChahiraAff1, IDs42044025003723_cor1, Maiza, MohammedAff2, Taleb-Ahmed, AbdelmalikAff3
Πηγή: Iran Journal of Computer Science: An International Journal. 9(1)
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s42044-025-00372-3
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  Data: Social spider optimization with mutual information for high-accuracy cancer classification: a hybrid gene selection framework
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  Data: <i>Iran Journal of Computer Science: An International Journal</i>. 9(1)
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        Value: 10.1007/s42044-025-00372-3
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      – TitleFull: Social spider optimization with mutual information for high-accuracy cancer classification: a hybrid gene selection framework
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            – D: 01
              M: 12
              Type: published
              Y: 2026
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