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
superbiclust_1.2.zip(r-4.5)superbiclust_1.2.zip(r-4.4)superbiclust_1.2.zip(r-4.3)
superbiclust_1.2.tgz(r-4.4-any)superbiclust_1.2.tgz(r-4.3-any)
superbiclust_1.2.tar.gz(r-4.5-noble)superbiclust_1.2.tar.gz(r-4.4-noble)
superbiclust_1.2.tgz(r-4.4-emscripten)superbiclust_1.2.tgz(r-4.3-emscripten)
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.

16 exports 0.36 score 44 dependencies 1 dependents 2 scripts 322 downloads

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

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winNOTESep 13 2024
R-4.5-linuxNOTESep 13 2024
R-4.4-winNOTESep 13 2024
R-4.4-macNOTESep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:BiclustSetcombinegetStatsHCLtreejaccardMatkulczynskiMatochiaiMatplotProfilesAcrossAllSamplesplotProfilesWithinBiclusterplotSuperplotSuperAllsensitivityMatsimilaritysorensenMatspecificityMatsummary

Dependencies:additivityTestsbiclustBiobaseBiocGenericsclassclicolorspacecpp11dplyrfabiafansifarverflexclustgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmodeltoolsmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr