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Supporting Gene Expression Analysis Processes by a Service-Oriented Platform
Salt Lake City, Utah, USA July 09-July 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCC.2007.114IEEE International Conference on Serv ...
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Sebastian Richly, Dirk Habich, Maik Thiele, Sebastian Gotz, Stefan Hartung, "Supporting Gene Expression Analysis Processes by a Service-Oriented Platform," Services Computing, IEEE International Conference on, pp. 739-746, IEEE International Conference on Services Computing (SCC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SCC.2007.114,
author = {Sebastian Richly and Dirk Habich and Maik Thiele and Sebastian Gotz and Stefan Hartung},
title = {Supporting Gene Expression Analysis Processes by a Service-Oriented Platform},
journal ={Services Computing, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2925-9},
pages = {739-746},
doi = {http://doi.ieeecomputersociety.org/10.1109/SCC.2007.114},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Services Computing, IEEE International Conference on
TI - Supporting Gene Expression Analysis Processes by a Service-Oriented Platform
SN - 0-7695-2925-9
SP739
EP746
A1 - Sebastian Richly,
A1 - Dirk Habich,
A1 - Maik Thiele,
A1 - Sebastian Gotz,
A1 - Stefan Hartung,
PY - 2007
KW - null
VL - 0
JA - Services Computing, IEEE International Conference on
ER -
 
Sebastian Richly, Dresden University of Technology
Dirk Habich, Dresden University of Technology
Maik Thiele, Dresden University of Technology
Sebastian Gotz, Dresden University of Technology
Stefan Hartung, Dresden University of Technology
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and consequently, a vast amount of microarray data sets are produced. Having access to this variety of repositories, researchers would like to incorporate this data in their analyses to increase the statistical significance of their results. In this paper, we present our service-oriented approach for the gene expression analysis. Our approach is oriented towards scalability and efficiency.
Citation:
Sebastian Richly, Dirk Habich, Maik Thiele, Sebastian Gotz, Stefan Hartung, "Supporting Gene Expression Analysis Processes by a Service-Oriented Platform," scc, pp.739-746, IEEE International Conference on Services Computing (SCC 2007), 2007
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