This is the development version of COMPASS; for the stable release version, see COMPASS.
Combinatorial Polyfunctionality Analysis of Single CellsBioconductor version: Development (3.22)
COMPASS is a statistical framework that enables unbiased analysis of antigen-specific T-cell subsets. COMPASS uses a Bayesian hierarchical framework to model all observed cell-subsets and select the most likely to be antigen-specific while regularizing the small cell counts that often arise in multi-parameter space. The model provides a posterior probability of specificity for each cell subset and each sample, which can be used to profile a subject's immune response to external stimuli such as infection or vaccination.
Author: Lynn Lin, Kevin Ushey, Greg Finak, Ravio Kolde (pheatmap)
Maintainer: Greg Finak <gfinak at fhcrc.org>
Citation (from within R, entercitation("COMPASS")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("COMPASS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("COMPASS")
Details biocViews FlowCytometry, ImmunoOncology, Software Version 1.47.0 In Bioconductor since BioC 2.14 (R-3.1) (11 years) License Artistic-2.0 Depends R (>= 3.0.3) Imports methods, Rcpp, data.table, RColorBrewer, scales, grid, plyr, knitr, abind, clue, grDevices, utils, pdist, magrittr, reshape2, dplyr, tidyr, rlang, BiocStyle, rmarkdown, foreach, coda System Requirements URL Bug Reports https://github.com/RGLab/COMPASS/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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