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
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;
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
DOI :
10.1109/IAT.2005.81
