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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (4): 638-643    DOI: 10.1631/jzus.2007.A0638
Information & Computer Science     
Classification analysis of microarray data based on ontological engineering
LI Guo-qi, SHENG Huan-ye
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract  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.

Key words： Ontological engineering      Data mining      Microarray      Support vector machine (SVM)     
Received: 11 February 2006     
CLC:  TP391  
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LI Guo-qi
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Cite this article:

LI Guo-qi, SHENG Huan-ye. Classification analysis of microarray data based on ontological engineering. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(4): 638-643.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A0638     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I4/638

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