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Interactive Visualization and Analysis for Gene Expression Data
Big Island, Hawaii January 07-January 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2002.99410935th Annual Hawaii International Conf ...
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C. Tang, L. Zhang, A. Zhang, "Interactive Visualization and Analysis for Gene Expression Data," Hawaii International Conference on System Sciences, vol. 6, pp. 143, 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 6, 2002.
 
 
BibTex
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@article{ 10.1109/HICSS.2002.994109,
author = {C. Tang and L. Zhang and A. Zhang},
title = {Interactive Visualization and Analysis for Gene Expression Data},
journal ={Hawaii International Conference on System Sciences},
volume = {6},
year = {2002},
isbn = {0-7695-1435-9},
pages = {143},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2002.994109},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Hawaii International Conference on System Sciences
TI - Interactive Visualization and Analysis for Gene Expression Data
SN - 0-7695-1435-9
SP
EP
A1 - C. Tang,
A1 - L. Zhang,
A1 - A. Zhang,
PY - 2002
VL - 6
JA - Hawaii International Conference on System Sciences
ER -
 
HCDMG03Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and effectively analyze and visualize this data. In this paper, we present a visualization method which maps the samples' n-dimensional gene vectors into 2-dimensional points. This mapping is effective in keeping correlation coefficient similarity which is the most suitable similarity measure for analyzing the gene expression data. Our analysis method first removes noise genes from the gene expression
Citation:
C. Tang, L. Zhang, A. Zhang, "Interactive Visualization and Analysis for Gene Expression Data," hicss, vol. 6, pp.143, 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 6, 2002
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