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