CRAN/E | hypergate

hypergate

Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry

Installation

About

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.

Key Metrics

Version 0.8.5
R ≥ 3.5.0
Published 2024-01-16 104 days ago
Needs compilation? no
License GPL-3
CRAN checks hypergate results

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Maintainer

Maintainer

Etienne Becht

etienne.becht@protonmail.com

Authors

Etienne Becht

cre / aut

Samuel Granjeaud

ctb

Material

README
Reference manual
Package source

Vignettes

Hypergate

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

hypergate archive

Depends

R ≥ 3.5.0

Imports

stats
grDevices
utils
graphics

Suggests

knitr
rmarkdown
flowCore
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sf