CHOIR : Clustering Hierarchy Optimization by Iterative Random forests (www.CHOIRclustering.com)
CHOIR (clustering hierachy optimization by iterative random forests) 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.
To install the package, please use the following:
remotes::install_github("corceslab/CHOIR", ref="main", repos = BiocManager::repositories(), upgrade = "never")
Please follow the vignette.
Alternately, install the package with
build_vignettes = TRUE
, as follows:
remotes::install_github("corceslab/CHOIR", ref="main", repos = BiocManager::repositories(), upgrade = "never", build_vignettes = TRUE)
And access the vignette by running:
vignette("CHOIR")