An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data

An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data

Feature selection is critical in analyzing microarray data, which has many features (genes) or dimensions. However, with only a few samples the large search space and time consumed during their selection make selecting relevant and informative genes that improve classification performance a complex...

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Autores principales: Passent El Kafrawy, Hanaa Fathi, Mohammed Qaraad, Ayda K. Kelany, Xumin Chen
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Cancer classification
feature selection
genomic microarray data
support vector machine
ensemble minimum redundancy > maximum relevance
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/fc9ce6eb64744b63be5363e9993b5579
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https://doaj.org/article/fc9ce6eb64744b63be5363e9993b5579

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