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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.4 P.638-643


Classification analysis of microarray data based on ontological engineering

Author(s):  LI Guo-qi, SHENG Huan-ye

Affiliation(s):  Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   liguoqi@sjtu.edu.cn

Key Words:  Ontological engineering, Data mining, Microarray, Support vector machine (SVM)

LI Guo-qi, SHENG Huan-ye. Classification analysis of microarray data based on ontological engineering[J]. Journal of Zhejiang University Science A, 2007, 8(4): 638-643.

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Background knowledge is important for data mining, especially in complicated situation. ontological engineering is the successor of knowledge engineering. The sharable knowledge bases built on ontology can be used to provide background knowledge to direct the process of data mining. This paper gives a common introduction to the method and presents a practical analysis example using SVM (support vector machine) as the classifier. Gene Ontology and the accompanying annotations compose a big knowledge base, on which many researches have been carried out. microarray dataset is the output of DNA chip. With the help of Gene Ontology we present a more elaborate analysis on microarray data than former researchers. The method can also be used in other fields with similar scenario.

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