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《Journal of Zhejiang University(Engineering Science)》 2004-10
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Gene selection algorithm based on correlation analysis

WANG Ming-yi~1,WU Ping~1,WANG De-lin~2(1. College of Life Science, Zhejiang University, Hangzhou 310029, China; 2. Department of Computer Science and Engineering, China Jiliang University, Hangzhou 310018, China)  
Gene sets of interest typically selected by usual ranking methods from microarray data will contain many highly correlated genes. This situation will degrade the performance of classifiers. To filter these redundant genes (features), an unsupervised feature selection algorithm was proposed. The task of the algorithm involves partitioning the original feature set into a number of homogeneous subsets (clusters) and selecting a representative feature from each such cluster. Partitioning of the features is done based on k-NN (k nearest neighbor) principles using pairwise feature correlation measures. This method does not need to specify the optimal number of clusters in advance and has less computational complexity. Real biological data experiments show that this algorithm significantly increases the classification (accuracy) of existing classifiers.
【CateGory Index】: TN402
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【References】
Chinese Journal Full-text Database 2 Hits
1 PENG Hong-yi1,YE Yan-rui2,ZHANG Jun-hui2,LUO Ze-ju3,FENG Guo-he41.College of Science,South China Agricultural University,Guangzhou 510642,China 2.School of Bioscience & Bioengineering,South China University of Technology,Guangzhou 510006,China 3.School of Computer Science and Information Engineering,Chongqing Technology and Business University,Chongqing 400067,China 4.College of Economics and Management,South China Normal University,Guangzhou 510006,China;Method of extracting features from DNA microarray data for classification[J];计算机工程与应用;2010-28
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【Co-references】
Chinese Journal Full-text Database 5 Hits
1 PENG Hong-yi1,JIANG Chun-fu2,DU Ming31.College of Science,South China Agricultural University,Guangzhou 510642,China 2.Department of Mathematics,Shenzhen University,Shenzhen,Guangdong 518060,China3.Local Tax Bureau of Nanxiong City,Shaoguan,Guangdong 512400,China;Research of SVM’s classification based on ICA and cluster[J];计算机工程与应用;2008-08
2 LI Jian-Zhong+, YANG Kun, GAO Hong, LUO Ji-Zhou, GUO Zheng** (Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin 150001, China);Model-Free Gene Selection Method by Considering Unbalanced Samples[J];软件学报;2006-07
3 PENG Hong-Yi ZHU Si-Ming JIANG Chun-Fu (Department of Mathematies,Sun Yat-sen University,Guangzhou 510275);Missing Value Estimation Based on ICA in Data Mining[J];计算机科学;2005-12
4 WANG Ming-yi~1,WU Ping~1,WANG De-lin~2(1. College of Life Science, Zhejiang University, Hangzhou 310029, China; 2. Department of Computer Science and Engineering, China Jiliang University, Hangzhou 310018, China);Gene selection algorithm based on correlation analysis[J];浙江大学学报(工学版);2004-10
5 LI Xia 1),2) ZHANG Tian-Wen 1) GUO Zheng 1),2) 1)(Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001) 2)(Department of Biomedical Engineering and Bioinformatics, Harbin Medical University, Harbin 150086);An Novel Ensemble Method of Feature Gene Selection Based on Recursive Partition-Tree[J];计算机学报;2004-05
【Secondary References】
Chinese Journal Full-text Database 9 Hits
1 Wei Jun;School of Mathematics & Computer Science,Shaanxi University of Technology;;Feature Gene Selection Method Based on Improved Harmony Search Algorithm[J];河南科学;2015-01
2 XU Jiu-cheng;XU Tian-he;SUN Lin;REN Jin-yu;College of Computer & Information Engineering,Henan Normal University;Engineering Technology Research Center for Computing Intelligence & Data Mining,Henan Province;;Feature Selection for Cancer Classification Based on Neighborhood Rough Set and Particle Swarm Optimization[J];小型微型计算机系统;2014-11
3 WEN Liangjun;ZHENG Hong;College of Computer Science and Engineering,Changchun University of Technology;;Multi-Stages Informative Gene Set Selection Algorithm in Microarray Expression Profiles[J];吉林大学学报(信息科学版);2014-05
4 XU Jiucheng;XU Tianhe;SUN Lin;REN Jinyu;College of Computer &Information Engineering;Engineering Technology Research Center for Computing Intelligence & Data Mining,Henan Normal University;;Gene Selection Based on Neighborhood Mutual Information and Self-organizing Map[J];河南师范大学学报(自然科学版);2014-01
5 MING Li-te1,JIANG Yun1,WANG Yong2,WANG Ming-fang1(1.College of Mathematics & Information Science,Northwest Normal University,Lanzhou 730070,China;2.College of Computer Science,Northwestern Polytechnical University,Xi'an 710072,China);Gene expression profiles classification method based on neighborhood rough set and probabilistic neural networks ensemble[J];计算机应用研究;2011-12
6 GENG Yaojun,ZHANG Junying(School of Computer Science and Technology,Xidian University,Xi'an 710071,China);A gene selection method based on a sparse representation projection[J];哈尔滨工程大学学报;2011-08
7 GENG Yaojun,ZHANG Junying(School of Computer Science and Technology,Xidian Univ.,Xi'an 710071,China);Gene selection method based on supervised dimension reduction and procrustes analysis[J];西安电子科技大学学报;2011-03
8 WANG Zhen-hua,FAN Tai-hua,ZHANG hui(School of Computer Science and Technology,Southwest University of Science and Technology,Mianyang 621010,China);Research on Ontology-Based Leukemia Feature Gene Selection[J];电脑知识与技术;2010-34
9 YU Hua-long GU Guo-chang ZHAO Jing LIU Hai-bo SHEN Jing(College of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China);State of the Art on Cancer Classification Problems Based on DNA Microarray Data[J];计算机科学;2010-10
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