Meta-analysis of high-throughput experiments using feature annotations

Bioconductor version: Release (2.11)

Calculates significant annotations (categories) in each of two (or more) feature (i.e. gene) lists, determines the overlap between the annotations, and returns graphical and tabular data about the significant annotations and which combinations of feature lists the annotations were found to be significant. Interactive exploration is facilitated through the use of RCytoscape (heavily suggested).

Author: Robert M. Flight <rflight79 at>

Maintainer: Robert M. Flight <rflight79 at>

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PDF categoryCompare: High-throughput data meta-analysis using gene annotations
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biocViews Annotation, Bioinformatics, GO, GeneExpression, MultipleComparisons, Pathways, Software
Version 1.2.0
In Bioconductor since BioC 2.10 (R-2.15)
License GPL-2
Depends R (>= 2.10), BiocGenerics(>= 0.3.2), Biobase(>= 2.17.8), AnnotationDbi(>= 0.1.15), Category(>= 2.23.4)
Imports BiocGenerics, Biobase, AnnotationDbi, hwriter, GSEABase, Category, GOstats, annotate, colorspace, graph, RCytoscape(>= 1.5.11)
Suggests methods, GSEABase, hwriter, colorspace, graph, GO.db, KEGG.db, estrogen,, hgu95av2.db, limma, affy, genefilter
System Requirements Cytoscape (>= 2.8.0) (if used for visualization of results, heavily suggested), CytoscapeRPC plugin (>= 1.8)
Depends On Me
Imports Me
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