Package: ClueR 1.4.2

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>.

Authors:Pengyi Yang

ClueR_1.4.2.tar.gz
ClueR_1.4.2.zip(r-4.7)ClueR_1.4.2.zip(r-4.6)ClueR_1.4.2.zip(r-4.5)
ClueR_1.4.2.tgz(r-4.6-any)ClueR_1.4.2.tgz(r-4.5-any)
ClueR_1.4.2.tar.gz(r-4.7-any)ClueR_1.4.2.tar.gz(r-4.6-any)
ClueR_1.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ClueR/json (API)

# Install 'ClueR' in R:
install.packages('ClueR', repos = c('https://pyanglab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pyanglab/cluer/issues

Datasets:

On CRAN:

Conda:

4.34 score 11 stars 20 scripts 265 downloads 6 exports 4 dependencies

Last updated from:6dbfcaa079. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK138
linux-release-x86_64OK108
macos-release-arm64OK156
macos-oldrel-arm64OK143
windows-develOK69
windows-releaseOK89
windows-oldrelOK68
wasm-releaseOK105

Exports:clustEnrichmentclustOptimalenrichmentTestfuzzPlotrunCluetemporalSimu

Dependencies:classe1071MASSproxy