FunCluster: Functional Profiling of Microarray Expression Data

FunCluster performs a functional analysis of microarray expression data based on Gene Ontology & KEGG functional annotations. From expression data and functional annotations FunCluster builds classes of putatively co-regulated biological processes through a specially designed clustering procedure.

Version: 1.09
Depends: R (≥ 2.10), Hmisc, cluster
Published: 2012-07-23
Author: Corneliu Henegar
Maintainer: Corneliu Henegar <corneliu at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Cluster
CRAN checks: FunCluster results


Reference manual: FunCluster.pdf
Package source: FunCluster_1.09.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: FunCluster_1.09.tgz, r-oldrel: FunCluster_1.09.tgz
OS X Mavericks binaries: r-release: FunCluster_1.09.tgz
Old sources: FunCluster archive