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 versionunknown
- LicenseGPL-3
- Needs compilation?No
- Reference manual
- Last release01/16/2024
Documentation
Team
Etienne Becht
Samuel Granjeaud
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Last 30 days
This package has been downloaded 212 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 3,056 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Apr 15, 2024 with 51 downloads.
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- Suggests4 packages