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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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Chinese Journal Full-text Database 10 Hits
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