ClusterSignificance specifications


Unique identifier OMICS_19367
Name ClusterSignificance
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data A matrix containing the representation of the data after dimensionality reduction and the user-defined classes to be tested for separation.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.8.2
Stability Stable
methods, stats, RColorBrewer, graphics, pracma, utils, testthat, BiocStyle, grDevices, ggplot2, rmarkdown, knitr, R(>=3.3.0), covr, scatterplot3d, princurve(>=2.0.5), plsgenomics
Maintained Yes




No version available



  • person_outline Jason Serviss
  • person_outline Dan Grander

Publication for ClusterSignificance

ClusterSignificance institution(s)
Department of Oncology and Pathology, Karolinska University Hospital Solna, Cancer Center Karolinska, Stockholm, Sweden; Cardiovascular Medicine Unit, Karolinska University Hospital Solna, Center for Molecular Medicine, Stockholm, Sweden; Department of Bioinformatics, Technical University of Denmark, Copenhagen, Denmark
ClusterSignificance funding source(s)
Supported by the Swedish Research Council [521-2012- 2037], Swedish Cancer Society [150768], Cancer Research Foundations of Radiumhemmet [144063], and the Swedish Childhood Cancer Foundation [PR2015-0009].

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