DocumentCode
2864089
Title
Hierarchical clustering analysis from genomic dataset
Author
Wei Yin ; Qing Yang
Author_Institution
CAS Res. Center on Data Technol. & Knowledge Econ., Graduate Univ. of Chinese Acad. of Sci., Beijing, China
fYear
2005
fDate
19-22 Sept. 2005
Firstpage
759
Lastpage
762
Abstract
In this paper, we use the method proposed by Eisen to analyze the genomic data collected from the State Key Laboratory of Reproductive Biology, Chinese Academy of Sciences. The analysis shows that the clustering methods effectively group genes of similar functions.
Keywords
biology computing; data mining; genetics; pattern clustering; biology computing; data mining; genomic dataset; hierarchical clustering analysis; pattern clustering; Bioinformatics; Biology; Clustering methods; Content addressable storage; Data analysis; Data mining; Floods; Genomics; Laboratories; Large-scale systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN
0-7695-2416-8
Type
conf
DOI
10.1109/IAT.2005.81
Filename
1565638
Link To Document