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-4.7)yaConsensus_1.0.zip(r-4.6)yaConsensus_1.0.zip(r-4.5)
yaConsensus_1.0.tgz(r-4.6-x86_64)yaConsensus_1.0.tgz(r-4.6-arm64)yaConsensus_1.0.tgz(r-4.5-x86_64)yaConsensus_1.0.tgz(r-4.5-arm64)
yaConsensus_1.0.tar.gz(r-4.7-arm64)yaConsensus_1.0.tar.gz(r-4.7-x86_64)yaConsensus_1.0.tar.gz(r-4.6-arm64)yaConsensus_1.0.tar.gz(r-4.6-x86_64)
yaConsensus_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

Conda:

2.70 score 177 downloads 2 exports 16 dependencies

Last updated from:d9fc70e996. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE101
linux-devel-x86_64NOTE108
source / vignettesOK132
linux-release-arm64NOTE120
linux-release-x86_64NOTE104
macos-release-arm64NOTE166
macos-release-x86_64NOTE350
macos-oldrel-arm64NOTE189
macos-oldrel-x86_64NOTE264
windows-develNOTE80
windows-releaseNOTE81
windows-oldrelNOTE95
wasm-releaseOK90

Exports:consensus.dissyaConsensus

Dependencies:clicodetoolsdoParallelfarverforeachgluegtableiteratorslabelinglifecyclepheatmapR6RColorBrewerrlangscalesviridisLite