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:

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