Gene Selection using Intelligent Dynamic Genetic Algorithm and Random Forest

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dc.authoridPashaei, Elham/0000-0001-7401-4964
dc.authoridPASHAEI, ELNAZ/0000-0001-9391-9785
dc.contributor.authorPashaei, Elham
dc.contributor.authorPashaei, Elnaz
dc.date.accessioned2024-09-11T19:52:52Z
dc.date.available2024-09-11T19:52:52Z
dc.date.issued2019
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description11th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 28-30, 2019 -- Bursa, TURKEYen_US
dc.description.abstractMicroarray gene expression data has provided a successful framework for investigating cancer and genetic diseases. Finding cancer-related genes using feature selection methods is of the greatest importance in microarray analysis. However, selecting a small number of informative genes is a challenging task due to the curse of dimensionality in the microarray dataset. This study introduces a new hybrid model based on the Intelligent Dynamic Genetic Algorithm (IDGA) and random forest to distinguish a small meaningful set of genes for cancer classification. This random forest-based IDGA algorithm uses not only random forest in filtering noisy and redundant genes but also in its fitness function. The proposed method was evaluated on two benchmark datasets, namely leukemia and colon cancer data and top explored genes were reported. Experimental results demonstrate that the suggested method has an excellent selection and classification performance compared to several recently proposed approaches.en_US
dc.description.sponsorshipChamber Elect Engineers Bursa Branch,Bursa Uludag Univ, Dept Elect Elect Engn,Istanbul Tech Univ, Fac Elect & Elect Engn,IEEE Turkey Secten_US
dc.identifier.doi10.23919/eleco47770.2019.8990557
dc.identifier.endpage474en_US
dc.identifier.scopus2-s2.0-85080884087en_US
dc.identifier.startpage470en_US
dc.identifier.urihttps://doi.org/10.23919/eleco47770.2019.8990557
dc.identifier.urihttps://hdl.handle.net/11363/8040
dc.identifier.wosWOS:000552654100091en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 11th International Conference on Electrical And Electronics Engineering (Eleco 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.titleGene Selection using Intelligent Dynamic Genetic Algorithm and Random Foresten_US
dc.typeConference Objecten_US

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