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A modified binary particle swarm optimization for selecting the small subset of informative genes from gene expression data

Gene expression data are expected to be of significant help in the development of efficient cancer diagnoses and classification platforms. In order to select a small subset of informative genes from the data for cancer classification, recently, many researchers are analyzing gene expression data usi...

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書誌詳細
主要な著者:	Mohamad, Mohd. Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifumi
フォーマット:	論文
出版事項:	Institute of Electrical and Electronics Engineers 2011
主題:	QA Mathematics
オンライン･アクセス:	http://eprints.utm.my/id/eprint/44690/ http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6017123
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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