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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Bibliographic Details

Main Authors:	Mohd Ali, Nursabillilah, Hanafi, Ainain Nur, Karis, Mohd Safirin, Shamsudin, Nur Hazahsha, Shair, Ezreen Farina, Abdul Aziz, Nor Hidayati
Format:	Article
Language:	en
Published:	Institute Of Advanced Engineering And Science (IAES) 2024
Online Access:	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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