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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.
Version: | 1.0 |
Depends: | R (≥ 4.1.0), foreach (≥ 1.5.1), pheatmap (≥ 1.0.12), doParallel (≥ 1.0.16) |
Published: | 2021-07-01 |
DOI: | 10.32614/CRAN.package.yaConsensus |
Author: | Stefano Maria Pagnotta [aut, cre, cph] |
Maintainer: | Stefano Maria Pagnotta <pagnotta at unisannio.it> |
License: | MIT + file LICENSE |
URL: | https://github.com/stefanoMP/yaConsensus |
NeedsCompilation: | yes |
CRAN checks: | yaConsensus results |
Reference manual: | yaConsensus.pdf |
Package source: | yaConsensus_1.0.tar.gz |
Windows binaries: | r-devel: yaConsensus_1.0.zip, r-release: yaConsensus_1.0.zip, r-oldrel: yaConsensus_1.0.zip |
macOS binaries: | r-release (arm64): yaConsensus_1.0.tgz, r-oldrel (arm64): yaConsensus_1.0.tgz, r-release (x86_64): yaConsensus_1.0.tgz, r-oldrel (x86_64): yaConsensus_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.