ClueR1.4.2 package

Cluster Evaluation

ClueR-package

CLUster Evaluation R package

clustEnrichment

Cluster enrichment test

clustOptimal

Generate optimal clustering

enrichmentTest

Fisher's exact test-based enrichment test

fuzzPlot

Visualize fuzzy clustering results

Pathways.biocarta

Biocarta pathway annotations

Pathways.DAVID

DAVID pathway annotations

Pathways.KEGG

KEGG pathway annotations

Pathways.reactome

Reactome pathway annotations

PhosphoELM.human

Phospho.ELM annotations for human

PhosphoELM.mouse

Phospho.ELM annotations for mouse

PhosphoSite.human

PhosphoSitePlus annotations for human

PhosphoSite.mouse

PhosphoSitePlus annotations for mouse

runClue

Run CLUster Evaluation

temporalSimu

Temporal data simulation

Download source packageRead PDF manual

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>.

  • Maintainer: Pengyi Yang
  • License: GPL-3
  • Last published: 2023-11-15