| Classification analysis of microarray data based on ontological engineering |
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| 引用本文： | LI Guo-qi SHENG Huan-ye. Classification analysis of microarray data based on ontological engineering[J]. 浙江大学学报(A卷英文版), 2007, 8(4): 638-643. DOI: 10.1631/jzus.2007.A0638 |
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| 作者姓名： | LI Guo-qi SHENG Huan-ye |
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| 作者单位： | Department of Computer Science and Engineering，Shanghai Jiao Tong University，Shanghai 200240，China |
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| 基金项目： | Project (No. 20040248001) supported by the Ph.D. Programs Foun-dation of Ministry of Education of China |
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| 摘 要： | 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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| 关 键 词： | 本体工程 微阵列数据 基因表达 分类分析 数据挖掘 |
| 收稿时间： | 2006-02-11 |
| 修稿时间： | 2006-09-21 |
Classification analysis of microarray data based on ontological engineering |
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| Guo-qi Li,Huan-ye Sheng. Classification analysis of microarray data based on ontological engineering[J]. Journal of Zhejiang University Science, 2007, 8(4): 638-643. DOI: 10.1631/jzus.2007.A0638 |
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| Authors: | Guo-qi Li Huan-ye Sheng |
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| Affiliation: | (1) 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. |
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| Keywords: | Ontological engineering Data mining Microarray Support vector machine (SVM) |
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