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DESCRIPTION
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DESCRIPTION
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Package: briDiscovr
Type: Package
Title: Distribution analysis across clusters of a parent population overlaid with a rare subpopulation
Version: 0.3.9
Authors@R: c(
person("Mario", "Rosasco", role = c("aut")),
person("Virginia", "Muir", role = c("aut")),
person("Matt", "Dufort", email = "mdufort@benaroyaresearch.org", role = c("aut", "cre")))
URL: https://github.com/BenaroyaResearch/briDiscovr
Description: A package designed to facilitate the metaclustering analysis described in Wiedeman et al.,
2020, J Clin Invest. In brief, the approach defines phenotypic clusters from a parent population
(eg: all CD8+ cells in PBMC) and then maps rare cells (eg: antigen-specific memory cells) on the
parent population's phenotypic landscape to robustly characterize differences in the rare cells.
License: file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
LinkingTo:
Rcpp
biocViews:
Imports:
rlang,
igraph(>= 1.0.1),
RANN(>= 2.5),
Rcpp (>= 0.12.0),
methods,
dplyr,
tibble,
tidyr,
magrittr,
stringr,
reshape2,
flowCore,
ComplexHeatmap,
RColorBrewer,
circlize,
viridisLite,
grid,
memuse,
umap
Suggests:
testthat