Package: yaConsensus 1.0

Stefano Maria Pagnotta

yaConsensus: Consensus Clustering of Omic Data

Procedures to perform consensus clustering starting from a dissimilarity matrix or a data matrix. It's allowed to select if the subsampling has to be by samples or features. In case of computational heavy load, the procedures can run in parallel.

Authors:Stefano Maria Pagnotta [aut, cre, cph]

yaConsensus_1.0.tar.gz
yaConsensus_1.0.zip(r-4.5)yaConsensus_1.0.zip(r-4.4)yaConsensus_1.0.zip(r-4.3)
yaConsensus_1.0.tgz(r-4.5-x86_64)yaConsensus_1.0.tgz(r-4.5-arm64)yaConsensus_1.0.tgz(r-4.4-x86_64)yaConsensus_1.0.tgz(r-4.4-arm64)yaConsensus_1.0.tgz(r-4.3-x86_64)yaConsensus_1.0.tgz(r-4.3-arm64)
yaConsensus_1.0.tar.gz(r-4.5-noble)yaConsensus_1.0.tar.gz(r-4.4-noble)
yaConsensus_1.0.tgz(r-4.4-emscripten)yaConsensus_1.0.tgz(r-4.3-emscripten)
yaConsensus.pdf |yaConsensus.html
yaConsensus/json (API)

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

Bug tracker:https://github.com/stefanomp/yaconsensus/issues

On CRAN:

fortran

2.70 score 149 downloads 2 exports 18 dependencies

Last updated 3 years agofrom:d9fc70e996. Checks:7 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 05 2025
R-4.5-win-x86_64NOTEFeb 05 2025
R-4.5-mac-x86_64NOTEFeb 05 2025
R-4.5-mac-aarch64NOTEFeb 05 2025
R-4.5-linux-x86_64NOTEFeb 05 2025
R-4.4-win-x86_64OKFeb 05 2025
R-4.4-mac-x86_64OKFeb 05 2025
R-4.4-mac-aarch64OKFeb 05 2025
R-4.3-win-x86_64OKFeb 05 2025
R-4.3-mac-x86_64OKFeb 05 2025
R-4.3-mac-aarch64OKFeb 05 2025

Exports:consensus.dissyaConsensus

Dependencies:clicodetoolscolorspacedoParallelfarverforeachgluegtableiteratorslabelinglifecyclemunsellpheatmapR6RColorBrewerrlangscalesviridisLite