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Given a high-dimensional dataset that typically represents a cytometry dataset, and a subset of the datapoints, this algorithm outputs an hyperrectangle so that datapoints within the hyperrectangle best correspond to the specified subset. In essence, this allows the conversion of clustering algorithms' outputs to gating strategies outputs.
| Version: | 0.8.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, grDevices, utils, graphics |
| Suggests: | knitr, rmarkdown, flowCore, sp, sf |
| Published: | 2024-01-16 |
| DOI: | 10.32614/CRAN.package.hypergate |
| Author: | Etienne Becht [cre, aut], Samuel Granjeaud [ctb] |
| Maintainer: | Etienne Becht <etienne.becht at protonmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | hypergate results |
| Reference manual: | hypergate.pdf |
| Vignettes: |
Hypergate |
| Package source: | hypergate_0.8.5.tar.gz |
| Windows binaries: | r-devel: hypergate_0.8.5.zip, r-release: hypergate_0.8.5.zip, r-oldrel: hypergate_0.8.5.zip |
| macOS binaries: | r-release (arm64): hypergate_0.8.5.tgz, r-oldrel (arm64): hypergate_0.8.5.tgz, r-release (x86_64): hypergate_0.8.5.tgz, r-oldrel (x86_64): hypergate_0.8.5.tgz |
| Old sources: | hypergate archive |
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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.