Package: ClusterSignificance Title: The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data Version: 1.41.0 Authors@R: c( person("Jason T.", "Serviss", email = "Jason.serviss@ki.se", role = c("aut", "cre"), comment = c(ORCID = 0000-0002-5778-7014)), person("Jesper R.", "Gadin", email = "Jesper.gadin@ki.se", role = c("aut")) ) Author: Jason T. Serviss [aut, cre], Jesper R. Gadin [aut] Maintainer: Jason T Serviss Description: The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data. The term class clusters here refers to, clusters of points representing known classes in the data. This is particularly useful to determine if a subset of the variables, e.g. genes in a specific pathway, alone can separate samples into these established classes. ClusterSignificance accomplishes this by, projecting all points onto a one dimensional line. Cluster separations are then scored and the probability of the seen separation being due to chance is evaluated using a permutation method. Depends: R (>= 3.3.0) URL: https://github.com/jasonserviss/ClusterSignificance/ BugReports: https://github.com/jasonserviss/ClusterSignificance/issues Imports: methods, pracma, princurve (>= 2.0.5), scatterplot3d, RColorBrewer, grDevices, graphics, utils, stats License: GPL-3 LazyData: true Suggests: knitr, rmarkdown, testthat, BiocStyle, ggplot2, plsgenomics, covr VignetteBuilder: knitr biocViews: Clustering, Classification, PrincipalComponent, StatisticalMethod NeedsCompilation: no Collate: 'ClusterSignificance-package.R' 'All-classes.R' 'classifier-methods.R' 'initialize-methods.R' 'mlpMatrix.R' 'pcpMatrix.R' 'permutation-methods.R' 'plot-methods.R' 'projection-methods.R' 'show-methods.R' RoxygenNote: 6.0.1 Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:43:24 UTC RemoteUrl: https://github.com/bioc/ClusterSignificance RemoteRef: HEAD RemoteSha: 1a070969009d6429db96debd591d5f6f6ea249e3 Packaged: 2026-07-04 01:48:05 UTC; root