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BMCBI
2005
212views more  BMCBI 2005»
13 years 4 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
BMCBI
2008
173views more  BMCBI 2008»
13 years 4 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
AIME
2007
Springer
13 years 10 months ago
Interpreting Gene Expression Data by Searching for Enriched Gene Sets
This paper presents a novel method integrating gene-gene interaction information and Gene Ontology for the construction of new gene sets that are potentially enriched. Enrichment o...
Igor Trajkovski, Nada Lavrac
BMCBI
2010
100views more  BMCBI 2010»
13 years 4 months ago
Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays
Background: Reproducibility of results can have a significant impact on the acceptance of new technologies in gene
Gregor Stiglic, Mateja Bajgot, Peter Kokol
BMCBI
2011
12 years 11 months ago
Appearance frequency modulated gene set enrichment testing
Background: Gene set enrichment testing has helped bridge the gap from an individual gene to a systems biology interpretation of microarray data. Although gene sets are defined a ...
Jun Ma, Maureen A. Sartor, H. V. Jagadish