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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Vydané v:	Journal of computing and information technology Ročník 32; číslo 3; s. 195 - 215
Hlavný autor:	Jaafar, Ali Nafaa
Médium:	Journal Article Paper
Jazyk:	English
Vydavateľské údaje:	Sveuciliste U Zagrebu 01.09.2024 Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva University of Zagreb Faculty of Electrical Engineering and Computing
Predmet:	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
On-line prístup:	Získať plný text
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