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

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ClueR.pdf |ClueR.html✨
ClueR/json (API)

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

Peer review:

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

Datasets:

On CRAN:

6 exports 10 stars 1.71 score 4 dependencies 17 scripts 290 downloads

Last updated 10 months agofrom:6dbfcaa079. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:clustEnrichmentclustOptimalenrichmentTestfuzzPlotrunCluetemporalSimu

Dependencies:classe1071MASSproxy