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BMCBI
2005
212views more  BMCBI 2005»
13 years 9 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
ASPLOS
1987
ACM
14 years 25 days ago
The Effect of Instruction Set Complexity on Program Size and Memory Performance
One potentialdisadvantage of a machine with a reduced instruction. set is that object programs may be substantially larger than those for a machine with a richer, more complex ins...
Jack W. Davidson, Richard A. Vaughan
BMCBI
2007
149views more  BMCBI 2007»
13 years 9 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
BMCBI
2008
173views more  BMCBI 2008»
13 years 9 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
IWC
2007
120views more  IWC 2007»
13 years 9 months ago
Visualizing set concordance with permutation matrices and fan diagrams
Scientific problem solving often involves concordance (or discordance) analysis among the result sets from different approaches. For example, different scientific analysis met...
Bo Hyoung Kim, Bongshin Lee, Jinwook Seo