dynamicTreeCut: Methods for Detection of Clusters in Hierarchical Clustering Dendrograms

Contains methods for detection of clusters in hierarchical clustering dendrograms.

Version: 1.63-1
Depends: R (≥ 2.3.0), stats
Published: 2016-03-11
Author: Peter Langfelder and Bin Zhang, with contributions from Steve Horvath
Maintainer: Peter Langfelder <Peter.Langfelder at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/BranchCutting/
NeedsCompilation: no
Materials: ChangeLog
In views: Cluster
CRAN checks: dynamicTreeCut results


Reference manual: dynamicTreeCut.pdf


Package source: dynamicTreeCut_1.63-1.tar.gz
Windows binaries: r-devel: dynamicTreeCut_1.63-1.zip, r-release: dynamicTreeCut_1.63-1.zip, r-oldrel: dynamicTreeCut_1.63-1.zip
macOS binaries: r-release (arm64): dynamicTreeCut_1.63-1.tgz, r-release (x86_64): dynamicTreeCut_1.63-1.tgz, r-oldrel: dynamicTreeCut_1.63-1.tgz
Old sources: dynamicTreeCut archive

Reverse dependencies:

Reverse depends: moduleColor, PropClust, scGPS, WGCNA
Reverse imports: airpart, allelematch, BioNERO, eclust, ENmix, GeneTonic, GWENA, linkcomm, MEAT, methylclock, miRSM, MODA, MRPC, netboost, RAMClustR, RITAN, spatialHeatmap, TimeSeriesExperiment, ViSEAGO
Reverse suggests: AUCell, biomvRCNS, bluster, conclus, dendextend, scran, simplifyEnrichment


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