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.
- Version0.8.5
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release01/16/2024
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Team
Etienne Becht
Samuel Granjeaud
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- Depends1 package
- Imports3 packages
- Suggests5 packages