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《Acta Academiae Medicinae Militaris Tertiae》 2006-13
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Functional modules based organization for association rules of gene expression profiles in cancer cell lines

WANG Chen-guang~(1),GUO Zheng~(2),LI Xia~(2),WANG Jian~(2)(~(1)Department of Medical Physics,~(2)Department of Bioinformatics,Harbin Medical University,Harbin 150086,China)  
Objective To apply apriori algorithm to mine the gene expression profiles will produce a huge number of association rules.A new approach to organize the mined association rules on the modularized gene functional category level is proposed.Methods The association rules containing the genes frequently appearing in the head parts of all the association rules were selected and grouped together.The gene functional categories,which were non-randomly enriched with the genes in the body parts of each grouped association rules,were found with statistical test and were used to form the body parts of the functional modular level association rules.Results By applying this new method to NCI60 data set,some cancer associated genes and their related functional category level expression association rules were discovered.Conclusion Gene expression profiles of diseases can be efficiently mined by association rules on the modularized gene functional category level.
【Fund】: 国家自然科学基金资助项目(30370798 30170515 30370388);; 国家高技术研究发展计划(“863”)资助项目(2003AA2Z20512002AA2Z2052);; 黑龙江科技攻关资助重点项目(GB03C602-4);; 哈尔滨市科技攻关资助项目(2003AA3CS113);; 黑龙江自然科学基金资助项目(F0177)~~
【CateGory Index】: R73-3;Q789
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Li Yingxin and Ruan Xiaogang (School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022);Feature Selection for Cancer Classification Based on Support Vector Machine[J];Journal of Computer Research and Development;2005-10
2 Chao Hao Ruan Xiaogang(School of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100022);Prediction of Cancer Based on Gene Expression Profiles[J];Computer Engineering and Applications;2005-31
3 Zhu Chan1 Xu Longfei2 1(Department of Computer Science,Guangdong Institute of Science and Technology,Zhuhai 519090) 2(Department of Computer Science,Ji'nan University,Guangzhou 510632);Research on Clustering Algorithms in Gene Expression Data Analyzing[J];Computer Engineering and Applications;2006-15
4 YU Zhen-Chao, LI Tong-Hua, WU Shan (Department of Chemistry, Tongji University, Shanghai, 200092);Partial least squares and support vector machine applied to the classification of microarray gene expression data[J];Computers and Applied Chemistry;2003-05
5 TU Kang 1), YU Hui 1), GUO Zheng 1,2)**, LI Xia 1) ( 1)Department of Medical Mathematics and Biomedical Engineering, Harbin Medical University, Harbin 150086, China; 2)Harbin Gene-Tech Biochip Development Inc,LTD,Harbin 150086, China);Mining Association Rules of GO Function Classes and Gene Expression Difference[J];Progress In Biochemistry and Biophysics;2004-08
6 LI Jie~1,TANG Xiang-Long~ 1,WANG Ya-Dong and LI Xia~ 1,2*1.School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China2.Department of Bioinformatics,Harbin Medical University,Harbin,150086,China;Research on Gene Expression Data Based on Clustering/classification Technology[J];Chinese Journal of Biotechnology;2005-04
7 ZHAN Chao,HU Jiang-hong(School of Computer Sci.and Techn.,Wuhan University of Technology,Wuhan 430070,China);Research and Application of SVM in Classification of Gene Expression Data[J];Computer Technology and Development;2006-03
8 ZHANG Yang~1,LIU Yong-ge~2,JING Xu~1(1 College of Information Engineering,Northwest A & F University,Yangling,Shaanxi 712100,China;2 Deptartment Computer Science,Anyang Normal University,Anyang,He'nan 455100,China);An improved feature selection algorithm for linear SVM classifiers[J];Journal of Northwest Sci-Tech University of Agriculture and Forestry(Natural Science Edition);2006-10
9 LIU Qing~1,2 , YANG Xiao-tao21 (School of Information, Renmin University of China, Beijing 100872)2 (School of Computer Science, Huazhong University of Science and Techology, Wuhan 430074, China);Microarray Gene Expression Data Anlysis Based on Support Vector Maching[J];Mini-micro Systems;2005-03
10 ZHANG Shen-ya(Foreign Languages Department of XYNU,Xingyang 464000,Chima);Study on feature selection algorithm in text categorization technology[J];Journal of Xinyang Agricultural College;2007-03
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