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-any)ClueR_1.4.2.zip(r-4.6-any)ClueR_1.4.2.zip(r-4.5-any)
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✨
DESCRIPTION
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:

4.36 score 11 stars 21 scripts 430 downloads 6 exports 3 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK134
linux-releaseOK90
macos-releaseOK178
macos-oldrelOK114
windows-develOK68
windows-releaseOK50
windows-oldrelOK65
wasm-releaseOK70

Exports:clustEnrichmentclustOptimalenrichmentTestfuzzPlotrunCluetemporalSimu

Dependencies:classe1071proxy