DocumentCode :
2849421
Title :
Data mining techniques for microarray datasets
Author :
Liu, Lei ; Yang, Jiong ; Tung, Anthony K H
Author_Institution :
Illinois Univ., Urbana, IL, USA
fYear :
2005
fDate :
5-8 April 2005
Firstpage :
1149
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.
Keywords :
biology computing; data analysis; data mining; genetics; biological research; data mining; knowledge discovery; microarray datasets; microarray gene expression analysis; Bioinformatics; Computer science; Data analysis; Data mining; Databases; Gene expression; Genomics; Monitoring; Organisms; Seminars;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on
ISSN :
1084-4627
Print_ISBN :
0-7695-2285-8
Type :
conf
DOI :
10.1109/ICDE.2005.41
Filename :
1410246
Link To Document :
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