Hybrid feature selection of microarray prostate cancer diagnostic system

DNA microarray prostate cancer diagnosis systems are widely used, and hybrid feature selection methods are applied to select optimal features to address the high dimensionality of the dataset. This work proposes a new hybrid feature selection method, namely the relief-F (RF)-genetic algorithm (GA) w...

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Main Authors: Mohd Ali, Nursabillilah, Hanafi, Ainain Nur, Karis, Mohd Safirin, Shamsudin, Nur Hazahsha, Shair, Ezreen Farina, Abdul Aziz, Nor Hidayati
格式: Article
语言:English
出版: Institute Of Advanced Engineering And Science (IAES) 2024
在线阅读:http://eprints.utem.edu.my/id/eprint/28196/2/39302-81967-1-PB.pdf
http://eprints.utem.edu.my/id/eprint/28196/
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/39302
http://doi.org/10.11591/ijeecs.v36.i3.pp1884-1894
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