Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data
	Huang, Qinghua 1; Tao, Dacheng 2; Li, Xuelong 3; Liew, Alan Wee-Chung 4
刊名	ieee-acm transactions on computational biology and bioinformatics
	2012-03-01
卷号	9 期号:2 页码:560-570
关键词	Biclustering genetic learning subdimensional search strategy gene expression data analysis
ISSN号	1545-5963
产权排序	3
合作状况	国际
英文摘要	the analysis of gene expression data obtained from microarray experiments is important for discovering the biological process of genes. biclustering algorithms have been proven to be able to group the genes with similar expression patterns under a number of experimental conditions. in this paper, we propose a new biclustering algorithm based on evolutionary learning. by converting the biclustering problem into a common clustering problem, the algorithm can be applied in a search space constructed by the conditions. to further reduce the size of the search space, we randomly separate the full conditions into a number of condition subsets (subspaces), each of which has a smaller number of conditions. the algorithm is applied to each subspace and is able to discover bicluster seeds within a limited computing time. finally, an expanding and merging procedure is employed to combine the bicluster seeds into larger biclusters according to a homogeneity criterion. we test the performance of the proposed algorithm using synthetic and real microarray data sets. compared with several previously developed biclustering algorithms, our algorithm demonstrates a significant improvement in discovering additive biclusters.
学科主题	biochemical research methods ; computer science ; interdisciplinary applications ; mathematics ; interdisciplinary applications ; statistics & probability
WOS标题词	science & technology ; life sciences & biomedicine ; technology ; physical sciences
类目[WOS]	biochemical research methods ; computer science, interdisciplinary applications ; mathematics, interdisciplinary applications ; statistics & probability
研究领域[WOS]	biochemistry & molecular biology ; computer science ; mathematics
关键词[WOS]	microarray data-analysis ; clustering analysis ; set
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000299560500021
公开日期	2012-09-03
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/20251]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China 2.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia 3.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 4.Griffith Univ, Sch Informat & Commun Technol, Gold Coast, Qld 4222, Australia
推荐引用方式 GB/T 7714	Huang, Qinghua,Tao, Dacheng,Li, Xuelong,et al. Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data[J]. ieee-acm transactions on computational biology and bioinformatics,2012,9(2):560-570.
APA	Huang, Qinghua,Tao, Dacheng,Li, Xuelong,&Liew, Alan Wee-Chung.(2012).Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data.ieee-acm transactions on computational biology and bioinformatics,9(2),560-570.
MLA	Huang, Qinghua,et al."Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data".ieee-acm transactions on computational biology and bioinformatics 9.2(2012):560-570.