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Sixth IEEE International Conference on Data Mining (ICDM'06)
Hong Kong
December 18-December 22
ISBN: 0-7695-2701-9
ASCII Text
x 
 
Weixiong Zhang, "Data Mining Methods for Modeling Gene Expression Regulation and Their Applications," Data Mining, IEEE International Conference on, pp. 7, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDM.2006.48,
author = {Weixiong Zhang},
title = {Data Mining Methods for Modeling Gene Expression Regulation and Their Applications},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2006},
issn = {1550-4786},
pages = {7},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.48},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Data Mining Methods for Modeling Gene Expression Regulation and Their Applications
SN - 1550-4786
SP
EP
A1 - Weixiong Zhang,
PY - 2006
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Weixiong Zhang, Washington University in St. Louis, USA
Understanding gene expression regulation at both transcriptional and post-transcriptional levels is critical for elucidation of the mechanism of stress tolerance in plants and important for understanding and diagnosis of human diseases. With the advent of high throughput gene expression profiling techniques, a huge amount of gene expression data on various organisms has been collected. Such a wealth of biological data has provided excellent opportunities to elucidating transcriptional regulation mechanisms using machine learning and data mining approaches.
Citation:
Weixiong Zhang, "Data Mining Methods for Modeling Gene Expression Regulation and Their Applications," icdm, pp.7, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006
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