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
Depends: R (≥ 2.10.0), e1071, parallel
Published: 2018-09-29
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.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: ClueR_1.4.tgz, r-oldrel: ClueR_1.4.tgz
Old sources: ClueR archive


Please use the canonical form to link to this page.