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gateR
View on CRAN: Click
here
Download and install gateR package within the R console
Install from CRAN:
install.packages("gateR")
Install from Github:
library("remotes")
install_github("cran/gateR")
Install by package version:
library("remotes")
install_version("gateR", "0.1.15")
Attach the package and use:
library("gateR")
Maintained by
Ian D. Buller
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-10
Latest Update: 2024-01-23
Description:
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) . Details
about kernel density estimation can be found in J. F. Bithell (1990) .
More information about relative risk functions using kernel density estimation can be
found in J. F. Bithell (1991) .
How to cite:
Ian D. Buller (2020). gateR: Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation. R package version 0.1.15, https://cran.r-project.org/web/packages/gateR. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for gateR
Functions, R codes and Examples using
the gateR R package
Some associated functions: gateR-package . gating . lotrrs . lrr_plot . pval_correct . pval_plot . randCyto . rrs .
Some associated R codes: gating.R . lotrrs.R . lrr_plot.R . package.R . pval_correct.R . pval_plot.R . randCyto.R . rrs.R . utils.R . zzz.R . Full gateR package functions and examples
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