Package: runibic 1.29.0
runibic: runibic: row-based biclustering algorithm for analysis of gene expression data in R
This package implements UbiBic algorithm in R. This biclustering algorithm for analysis of gene expression data was introduced by Zhenjia Wang et al. in 2016. It is currently considered the most promising biclustering method for identification of meaningful structures in complex and noisy data.
Authors:
runibic_1.29.0.tar.gz
runibic_1.29.0.zip(r-4.5)runibic_1.29.0.zip(r-4.4)runibic_1.29.0.zip(r-4.3)
runibic_1.29.0.tar.gz(r-4.5-noble)runibic_1.29.0.tar.gz(r-4.4-noble)
runibic.pdf |runibic.html✨
runibic/json (API)
NEWS
# Install 'runibic' in R: |
install.packages('runibic', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/athril/runibic/issues
On BioConductor:runibic-1.29.0(bioc 3.21)runibic-1.28.0(bioc 3.20)
microarrayclusteringgeneexpressionsequencingcoverage
Last updated 19 days agofrom:c55baab949. Checks:OK: 1 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | NOTE | Oct 31 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
R-4.4-win-x86_64 | NOTE | Oct 31 2024 |
R-4.3-win-x86_64 | NOTE | Oct 31 2024 |
Exports:backtrackLCSBCUnibicBCUnibicDcalculateLCSclusterpairwiseLCSrunibicruniDiscretizeset_runibic_paramsunisort
Dependencies:abindadditivityTestsaskpassbiclustBiobaseBiocGenericsbriocallrclassclicolorspacecpp11crayoncurlDelayedArraydescdiffobjdigestdplyrevaluatefansifarverflexclustfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemodeltoolsmunsellnlmeopensslpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RColorBrewerRcpprematch2rlangrprojrootS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystestthattibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewaldowithrXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Retrieving a Longest Common Subsequence between two integer vectors. | backtrackLCS |
Class BCUnibic | BCUnibic-class |
Class BCUnibicD | BCUnibicD-class |
Calculate all Longest Common Subsequences between a matrix. | calculateLCS |
Calculate biclusters from sorted list of LCS scores and row indices | cluster |
Calculate a matrix of Longest Common Subsequence (LCS) between a pair of numeric vectors | pairwiseLCS |
runibic: parallel row-based biclustering algorithm for analysis of gene expression data in R | runibic-package BCUnibic BCUnibicD runibic |
Discretize an input matrix | runiDiscretize |
Set the parameters for runibic algorithm | set_runibic_params |
Computing the indexes of j-th smallest values of each row | unisort |