Wrapper-based gene selection with Markov blanket

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• 作者：Aiguo Wang^a ; ^{wangaiguo2546@163.com}Author Vitae ; Ning An^a ; ^{ning.g.an@acm.org}Author Vitae ; Jing Yang^a ; ^{jsjyj0801@163.com}Author Vitae ; Guilin Chen^b ; ^{glchen@chzu.edu.cn}Author Vitae ; Lian Li^a ; ^{llian@hfut.edu.cn}Author Vitae ; Gil Alterovitz^c ; ^d ; ^e ; ^{gil_alterovitz@hms.harvard.edu}Author Vitae
• 关键词：Gene selection ; Microarray data ; Symmetric uncertainty ; Markov blanket ; Wrapper methods
• 刊名：Computers in Biology and Medicine
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：81
• 期：Complete
• 页码：11-23
• 全文大小：1485 K
• 卷排序：81

文摘

We combine wrapper-based gene selection with the Markov blanket technique. The proposed scheme can apply to several types of wrapper-based gene selectors. Extensive experimental results demonstrate its effectiveness and efficiency. The proposed scheme can reduce runtime theoretically.