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» Gene Set Enrichment Analysis Using Non-parametric Scores
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JBI
2008
159views Bioinformatics» more  JBI 2008»
13 years 4 months ago
SEGS: Search for enriched gene sets in microarray data
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
Igor Trajkovski, Nada Lavrac, Jakub Tolar
BMCBI
2007
166views more  BMCBI 2007»
13 years 4 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
BIOINFORMATICS
2008
104views more  BIOINFORMATICS 2008»
13 years 4 months ago
Gene set enrichment analysis using linear models and diagnostics
Assaf P. Oron, Zhen Jiang, Robert Gentleman
BMCBI
2007
112views more  BMCBI 2007»
13 years 4 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
BMCBI
2006
147views more  BMCBI 2006»
13 years 4 months ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve