Meta-analysis of high-throughput experiments using feature annotations

Bioconductor version: 2.10

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 R Script categoryCompare: High-throughput data meta-analysis using gene annotations
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biocViews Annotation, Bioinformatics, GO, GeneExpression, MultipleComparisons, Pathways, Software
Depends R (>= 2.10), Biobase(>= 1.15.29), AnnotationDbi(>= 0.1.15), Category
Imports Biobase(>= 1.15.29), AnnotationDbi(>= 0.1.15), hwriter, GSEABase, Category(>= 2.21.2), 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)
License GPL-2
Depends On Me
Imports Me
Suggests Me
Version 1.0.2
Since Bioconductor 2.10 (R-2.15)

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Package Source categoryCompare_1.0.2.tar.gz
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MacOS 10.5 (Leopard) binary categoryCompare_1.0.2.tgz
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