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-4.4-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'))

Peer review:

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

On CRAN:

2.70 score 105 downloads 2 exports 18 dependencies

Last updated 3 years agofrom:d9fc70e996. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:consensus.dissyaConsensus

Dependencies:clicodetoolscolorspacedoParallelfarverforeachgluegtableiteratorslabelinglifecyclemunsellpheatmapR6RColorBrewerrlangscalesviridisLite