ClueR: Cluster Evaluation

CLUster Evaluation (CLUE) is a computational method for identifying optimal number of clusters in a given time-course dataset clustered by cmeans or kmeans algorithms and subsequently identify key kinases or pathways from each cluster. Its implementation in R is called ClueR. See Readme on <https://github.com/PengyiYang/ClueR> for more details.

Version: 1.2
Depends: R (≥ 2.10.0), e1071, parallel
Published: 2017-04-30
Author: Pengyi Yang
Maintainer: Pengyi Yang <pengyi.yang at sydney.edu.au>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: ClueR results

Downloads:

Reference manual: ClueR.pdf
Package source: ClueR_1.2.tar.gz
Windows binaries: r-devel: ClueR_1.2.zip, r-release: ClueR_1.2.zip, r-oldrel: ClueR_1.2.zip
OS X El Capitan binaries: r-release: ClueR_1.2.tgz
OS X Mavericks binaries: r-oldrel: ClueR_1.2.tgz
Old sources: ClueR archive

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