Enhancement of Breast Cancer Classification Using Bat Feature Selection with Recurrent Deep Learning

DNA is a valuable tool for classifying expression of genes in detection of breast cancer. Gene expression data are biological data that extract valuable hidden information from gene datasets. Extracting useful features from datasets is a challenging task. Our gene expression dataset had a small numb...

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Veröffentlicht in:	Journal of computing and information technology Jg. 32; H. 3; S. 195 - 215
1. Verfasser:	Jaafar, Ali Nafaa
Format:	Journal Article Paper
Sprache:	Englisch
Veröffentlicht:	Sveuciliste U Zagrebu 01.09.2024 Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva University of Zagreb Faculty of Electrical Engineering and Computing
Schlagworte:	Algorithms bat algorithm Bats Breast cancer Cancer Comparative analysis Diagnosis feature selection Gene expression Genes Genetic aspects Genomics GRU LSTM Machine learning Neural networks Oncology, Experimental RNN Iraq
ISSN:	1330-1136, 1846-3908
Online-Zugang:	Volltext
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