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. P Yang et al. <10.1371/journal.pcbi.1004403>.

Version: 1.3
Depends: R (≥ 2.10.0), e1071, parallel
Published: 2018-06-11
Author: Pengyi Yang
Maintainer: Pengyi Yang <yangpy7 at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: ClueR results

Downloads:

Reference manual: ClueR.pdf
Package source: ClueR_1.3.tar.gz
Windows binaries: r-devel: ClueR_1.3.zip, r-release: ClueR_1.3.zip, r-oldrel: ClueR_1.3.zip
OS X binaries: r-release: ClueR_1.3.tgz, r-oldrel: ClueR_1.3.tgz
Old sources: ClueR archive

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