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Meta-analysis of high-throughput experiments using feature annotations

Bioconductor version: 3.0

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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HTML R Script categoryCompare: High-throughput data meta-analysis using feature annotations
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biocViews Annotation, GO, GeneExpression, MultipleComparison, Pathways, Software
Version 1.10.0
In Bioconductor since BioC 2.10 (R-2.15)
License GPL-2
Depends R (>= 2.10), Biobase, BiocGenerics
Imports AnnotationDbi, hwriter, GSEABase, Category, GOstats, annotate, colorspace, graph, RCytoscape(>= 1.5.11)
Suggests knitr, methods, GO.db, KEGG.db, estrogen,, hgu95av2.db, limma, affy, genefilter
SystemRequirements Cytoscape (>= 2.8.0) (if used for visualization of results, heavily suggested), CytoscapeRPC plugin (>= 1.8)
Depends On Me
Imports Me
Suggests Me
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