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2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05)
Hierarchical Clustering Analysis from Genomic Dataset
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2416-8
ASCII Text
x 
 
Wei Yin, Qing Yang, Shaoyuan Yao, Yong Shi, "Hierarchical Clustering Analysis from Genomic Dataset," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 759-762, 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/IAT.2005.81,
author = {Wei Yin and Qing Yang and Shaoyuan Yao and Yong Shi},
title = {Hierarchical Clustering Analysis from Genomic Dataset},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2416-8},
pages = {759-762},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2005.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - Hierarchical Clustering Analysis from Genomic Dataset
SN - 0-7695-2416-8
SP759
EP762
A1 - Wei Yin,
A1 - Qing Yang,
A1 - Shaoyuan Yao,
A1 - Yong Shi,
PY - 2005
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Wei Yin, CAS Research Center on Data Technology & Knowledge Economy and Graduate University of Chinese Academy of Sciences, Beijing, 100080, China
Qing Yang, Institute of Software, Chinese Academy of Science, Beijing, 100080, China
Shaoyuan Yao, State Key Laboratory of Reproductive Biology, Chinese Academy of Science, Beijing,
Yong Shi, CAS Research Center on Data Technology & Knowledge Economy and Graduate University of Chinese Academy of Sciences, Beijing, 100080, China

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.1

Citation:
Wei Yin, Qing Yang, Shaoyuan Yao, Yong Shi, "Hierarchical Clustering Analysis from Genomic Dataset," iat, pp.759-762, 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05), 2005
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