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

• 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

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...