hypergate

Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry

CRAN Package

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.

  • Version0.8.5
  • R version≥ 3.5.0
  • LicenseGPL-3
  • Needs compilation?No
  • Last release01/16/2024

Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends1 package
  • Imports3 packages
  • Suggests5 packages