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DESCRIPTION
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Package: CHOIR
Title: CHOIR - Cluster Hierachy Optimization by Iterative Random forests
Version: 0.3.0
Authors@R:
person("Cathrine", "Sant", , "cathrine.sant@gladstone.ucsf.edu", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-5821-9828"))
Description: CHOIR is a clustering algorithm for single-cell sequencing data. CHOIR applies a framework of permutation tests and random forest classifiers across a hierarchical clustering tree to statistically identify clusters that represent distinct populations.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.0
Suggests:
ArchR,
cluster,
clv,
countsplit,
ggnewscale,
knitr,
Polychrome,
rmarkdown,
Signac,
SingleCellExperiment
VignetteBuilder: knitr
Imports:
BiocGenerics,
bluster,
dplyr,
ggplot2,
ggtree,
harmony,
magrittr,
Matrix,
methods,
mrtree,
plyr,
progress,
ranger,
Seurat,
spatstat.univar,
stringr,
tidyr
Remotes:
pengminshi/mrtree