treekoR
treekoR
is a novel framework that aims to utilise the hierarchical nature of single cell cytometry data, to find robust and interpretable associations between cell subsets and patient clinical end points. treekoR achieves this by:
# Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("adam2o1o/treekoR")
library(treekoR)
or, via Bioconductor
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("treekoR")
treekoR
is still under active development. Any feedback related to the package and its use is immensely appreciated.
- R package related issues should be raised here.
Chan, A., Jiang, W., Blyth, E. et al. treekoR: identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data. Genome Biol 22, 324 (2021). https://doi.org/10.1186/s13059-021-02526-5
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