A Hybrid Barnacles Mating Optimizer Algorithm With Support Vector Machines for Gene Selection of Microarray Cancer Classification

These days, the classification between normal and cancerous tissues and between different types of cancers represents a very important issue. Selecting the little informative number of genes is considered the main challenge in the cancer diagnosis issue. Therefore, Gene selection is usually the prel...

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Vydané v:	IEEE access Ročník 9; s. 64895 - 64905
Hlavní autori:	Houssein, Essam H., Abdelminaam, Diaa Salama, Hassan, Hager N., Al-Sayed, Mustafa M., Nabil, Emad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	barnacles mating optimizer algorithm Cancer Classification Datasets feature selection Gene expression Gene selection Genes Genetic algorithms Heuristic methods Mathematical model microarray cancer classification Optimization Optimization algorithms Optimization techniques Particle swarm optimization Prediction algorithms Support vector machines
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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