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BMCBI
2007
157views more  BMCBI 2007»
15 years 4 months ago
Improving gene set analysis of microarray data by SAM-GS
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu...
EOR
2006
59views more  EOR 2006»
15 years 4 months ago
Sensitivity analysis in linear optimization: Invariant support set intervals
Sensitivity analysis is one of the most interesting and preoccupying areas in optimization. Many attempts are made to investigate the problem's behavior when the input data c...
Alireza Ghaffari Hadigheh, Tamás Terlaky
RSFDGRC
2009
Springer
119views Data Mining» more  RSFDGRC 2009»
15 years 10 months ago
Interval Set Cluster Analysis: A Re-formulation
A new clustering strategy is proposed based on interval sets, which is an alternative formulation different from the ones used in the existing studies. Instead of using a single s...
Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao
BMCBI
2005
124views more  BMCBI 2005»
15 years 4 months ago
ErmineJ: Tool for functional analysis of gene expression data sets
Background: It is common for the results of a microarray study to be analyzed in the context of biologically-motivated groups of genes such as pathways or Gene Ontology categories...
Homin K. Lee, William Braynen, Kiran Keshav, Paul ...
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ISVC
2005
Springer
15 years 9 months ago
Tool for Storm Analysis Using Multiple Data Sets
This note describes a web-based tool for storm analysis using multiple data sets developed for use in research of thunderstorms and forecasting applications. The tool was developed...
Robert M. Rabin, Tom Whittaker