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A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets

Identification of informative genes is essential for the disease and cancer studies. Metaheuristic algorithms have been widely used for this purpose. However, their performance on various high-dimensional datasets of genomic studies has not been fully addressed. This work was intended to perform a c...

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書誌詳細
主要な著者:	Hameed, Shilan S., Hassan, Wan Haslina, Abdul Latiff, Liza, Muhammad, Fahmi F.
フォーマット:	論文
出版事項:	Springer Science and Business Media Deutschland GmbH 2021
主題:	T Technology (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/94946/ http://dx.doi.org/10.1007/s00500-021-05726-0
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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