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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:f0aceb7833. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | NOTE | Nov 12 2024 |
R-4.5-linux | NOTE | Nov 12 2024 |
R-4.4-win | NOTE | Nov 12 2024 |
R-4.4-mac | NOTE | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:BiclustSetcombinegetStatsHCLtreejaccardMatkulczynskiMatochiaiMatplotProfilesAcrossAllSamplesplotProfilesWithinBiclusterplotSuperplotSuperAllsensitivityMatsimilaritysorensenMatspecificityMatsummary
Dependencies:additivityTestsbiclustBiobaseBiocGenericsclassclicolorspacecpp11dplyrfabiafansifarverflexclustgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmodeltoolsmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr