hypergate

Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry

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. For more details see Etienne Becht, Yannick Simoni, Elaine Coustan-Smith, Maximilien Evrard, Yang Cheng, Lai Guan Ng, Dario Campana and Evan Newell (2018) <doi:10.1101/278796>.

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Description file content

Package
hypergate
Title
Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry
Version
0.7
Description
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. For more details see Etienne Becht, Yannick Simoni, Elaine Coustan-Smith, Maximilien Evrard, Yang Cheng, Lai Guan Ng, Dario Campana and Evan Newell (2018) .
Depends
R (>= 3.0.0)
License
GPL-3
Encoding
UTF-8
LazyData
false
Imports
stats, grDevices, utils, graphics, lattice
Suggests
knitr, rmarkdown, flowCore, sp, rgeos
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-05-11 08:50:06 UTC; etienne
Author
Etienne Becht [cre, aut]
Maintainer
Etienne Becht
Repository
CRAN
Date/Publication
2018-05-14 10:45:52 UTC

install.packages('hypergate')

0.7

2 months ago

Etienne Becht

GPL-3

Depends on

R (>= 3.0.0)

Imports

stats, grDevices, utils, graphics, lattice

Suggests

knitr, rmarkdown, flowCore, sp, rgeos

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