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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/PYangLab/ClueR> 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 gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: ClueR results

Documentation:

Reference manual: ClueR.pdf

Downloads:

Package source: ClueR_1.4.2.tar.gz
Windows binaries: r-devel: ClueR_1.4.2.zip, r-release: ClueR_1.4.2.zip, r-oldrel: ClueR_1.4.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ClueR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.