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 <> for more details. P Yang et al. (2015) <doi:10.1371/journal.pcbi.1004403>.

Version: 1.4.2
Depends: R (≥ 2.10.0)
Imports: e1071, parallel, stats, graphics, grDevices
Published: 2023-11-15
DOI: 10.32614/CRAN.package.ClueR
Author: Pengyi Yang
Maintainer: Pengyi Yang <yangpy7 at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: ClueR results


Reference manual: ClueR.pdf


Package source: ClueR_1.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ClueR_1.4.2.tgz, r-oldrel (arm64): ClueR_1.4.2.tgz, r-release (x86_64): ClueR_1.4.2.tgz, r-oldrel (x86_64): ClueR_1.4.2.tgz
Old sources: ClueR archive

Reverse dependencies:

Reverse suggests: PhosR


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