{"title":"微阵列数据集的数据挖掘技术","authors":"Lei Liu, Jiong Yang, A. Tung","doi":"10.1109/ICDE.2005.41","DOIUrl":null,"url":null,"abstract":"Data mining research, which focuses on scalable and effective knowledge discovery from databases, can provide timely solutions for the biologists in these aspects. In this article, we aim to provide platform in which various aspects of microarray data analysis is being introduced. We discuss in layman term how microarray datasets are generated and used in biological research. We use example from the real projects that we participate in to illustrate the potential of different technologies. We also discuss existing data mining tools and methods used for analyzing the microarray data sets and their biological implications. We also offer a wide range of analysis tools that can be applied to microarray gene expression analysis. Finally, we present a set of open problems and future research directions for microarray data analysis.","PeriodicalId":297231,"journal":{"name":"21st International Conference on Data Engineering (ICDE'05)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Data mining techniques for microarray datasets\",\"authors\":\"Lei Liu, Jiong Yang, A. Tung\",\"doi\":\"10.1109/ICDE.2005.41\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining research, which focuses on scalable and effective knowledge discovery from databases, can provide timely solutions for the biologists in these aspects. In this article, we aim to provide platform in which various aspects of microarray data analysis is being introduced. We discuss in layman term how microarray datasets are generated and used in biological research. We use example from the real projects that we participate in to illustrate the potential of different technologies. We also discuss existing data mining tools and methods used for analyzing the microarray data sets and their biological implications. We also offer a wide range of analysis tools that can be applied to microarray gene expression analysis. Finally, we present a set of open problems and future research directions for microarray data analysis.\",\"PeriodicalId\":297231,\"journal\":{\"name\":\"21st International Conference on Data Engineering (ICDE'05)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st International Conference on Data Engineering (ICDE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2005.41\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st International Conference on Data Engineering (ICDE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2005.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining research, which focuses on scalable and effective knowledge discovery from databases, can provide timely solutions for the biologists in these aspects. In this article, we aim to provide platform in which various aspects of microarray data analysis is being introduced. We discuss in layman term how microarray datasets are generated and used in biological research. We use example from the real projects that we participate in to illustrate the potential of different technologies. We also discuss existing data mining tools and methods used for analyzing the microarray data sets and their biological implications. We also offer a wide range of analysis tools that can be applied to microarray gene expression analysis. Finally, we present a set of open problems and future research directions for microarray data analysis.