gateR
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Estimates statistically significant marker combination values within which one immunologically distinctive group (i.e., disease case) is more associated than another group (i.e., healthy control), successively, using various combinations (i.e., "gates") of markers to examine features of cells that may be different between groups. For a two-group comparison, the 'gateR' package uses the spatial relative risk function estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) doi:10.1002/sim.7577. Details about kernel density estimation can be found in J. F. Bithell (1990) doi:10.1002/sim.4780090616. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) doi:10.1002/sim.4780101112.
- Version0.1.15
- R versionunknown
- LicenseApache License (≥ 2.0)
- Needs compilation?No
- Languageen-US
- gateR citation info
- Last release01/23/2024
Documentation
Team
Ian D. Buller
Debashis Ghosh
NCI
Show author detailsRolesCopyright holderLance A. Waller
Elena Hsieh
Insights
Last 30 days
This package has been downloaded 275 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 3,688 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 48 downloads.
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Dependencies
- Imports8 packages
- Suggests4 packages