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 that is 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>.

Package details

AuthorIan D. Buller [aut, cre, cph] (<https://orcid.org/0000-0001-9477-8582>), Elena Hsieh [ctb] (<https://orcid.org/0000-0003-3969-6597>), Debashis Ghosh [ctb] (<https://orcid.org/0000-0001-6618-1316>), Lance A. Waller [ctb] (<https://orcid.org/0000-0001-5002-8886>), NCI [cph]
MaintainerIan D. Buller <ian.buller@nih.gov>
LicenseApache License (>= 2.0)
Version0.1.8
URL https://github.com/Waller-SUSAN/gateR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gateR")

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gateR documentation built on March 15, 2021, 5:09 p.m.