Package: superbiclust 1.2

superbiclust: Generating Robust Biclusters from a Bicluster Set (Ensemble Biclustering)

Biclusters are submatrices in the data matrix which satisfy certain conditions of homogeneity. Package contains functions for generating robust biclusters with respect to the initialization parameters for a given bicluster solution contained in a bicluster set in data, the procedure is also known as ensemble biclustering. The set of biclusters is evaluated based on the similarity of its elements (the overlap), and afterwards the hierarchical tree is constructed to obtain cut-off points for the classes of robust biclusters. The result is a number of robust (or super) biclusters with none or low overlap.

Authors:Tatsiana Khamiakova

superbiclust_1.2.tar.gz
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superbiclust.pdf |superbiclust.html
superbiclust/json (API)

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

Peer review:

On CRAN:

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

1.48 score 1 packages 2 scripts 303 downloads 16 exports 44 dependencies

Last updated 3 years agofrom:f0aceb7833. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winNOTENov 12 2024
R-4.5-linuxNOTENov 12 2024
R-4.4-winNOTENov 12 2024
R-4.4-macNOTENov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:BiclustSetcombinegetStatsHCLtreejaccardMatkulczynskiMatochiaiMatplotProfilesAcrossAllSamplesplotProfilesWithinBiclusterplotSuperplotSuperAllsensitivityMatsimilaritysorensenMatspecificityMatsummary

Dependencies:additivityTestsbiclustBiobaseBiocGenericsclassclicolorspacecpp11dplyrfabiafansifarverflexclustgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmodeltoolsmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr