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	An effective hybrid approach of gene selection and classification for microarray data based on clustering and particle swarm optimisation
	Han, Fei[1]; Yang, Shanxiu[2]; Guan, Jian[3]
刊名	INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
	2015
卷号	13期号:2页码:103-121
关键词	gene selection K-means clustering particle swarm optimisation extreme learning machine microarray data
ISSN号	1748-5673
DOI	http://dx.doi.org/10.1504/IJDMB.2015.071515
URL标识	查看原文
收录类别	SCI(E)
WOS记录号	WOS:000364231800001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5387669
专题	江苏大学
作者单位	1.[1]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Peoples R China. 2.[2]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Peoples R China. 3.[3]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Peoples R China.
推荐引用方式 GB/T 7714	Han, Fei[1],Yang, Shanxiu[2],Guan, Jian[3]. An effective hybrid approach of gene selection and classification for microarray data based on clustering and particle swarm optimisation[J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2015,13(2):103-121.
APA	Han, Fei[1],Yang, Shanxiu[2],&Guan, Jian[3].(2015).An effective hybrid approach of gene selection and classification for microarray data based on clustering and particle swarm optimisation.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,13(2),103-121.
MLA	Han, Fei[1],et al."An effective hybrid approach of gene selection and classification for microarray data based on clustering and particle swarm optimisation".INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS 13.2(2015):103-121.

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