Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry R package hypergate version 0.8.5 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. Software Depends: R (>= 3.5.0) Imports: stats, grDevices, utils, graphics Suggests: knitr, rmarkdown, flowCore, sp, sf Etienne Becht <etienne.becht@protonmail.com> Comprehensive R Archive Network (CRAN) Etienne Becht [cre, aut], Samuel Granjeaud [ctb] GPL-3 2024-01-16 application/tgz https://CRAN.R-project.org/package=hypergate doi:10.32614/CRAN.package.hypergate