Package: SCBiclust 1.0.2

Erika S. Helgeson

SCBiclust: Identifies Mean, Variance, and Hierarchically Clustered Biclusters

Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) <doi:10.1111/biom.13136>. 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.

Authors:Erika S. Helgeson [aut, cre], Qian Liu [aut], Guanhua Chen [aut], Michael R. Kosorok [aut], Eric Bair [aut]

SCBiclust_1.0.2.tar.gz
SCBiclust_1.0.2.zip(r-4.7-any)SCBiclust_1.0.2.zip(r-4.6-any)
SCBiclust_1.0.2.tar.gz(r-4.7-any)SCBiclust_1.0.2.tar.gz(r-4.6-any)
SCBiclust_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SCBiclust/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 216 downloads 5 exports 2 dependencies

Last updated from:91fd48cb2d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK201
linux-releaseOK107
windows-develOK64
windows-releaseOK67
wasm-releaseOK102

Exports:PermBiclust.beta.ksPermBiclust.sigclustPermBiclust.sigclust_stopPermHclust.sigclustVarPermBiclust.chisqdiff

Dependencies:sigclustsparcl