treekoR

DOI: 10.18129/B9.bioc.treekoR    

This is the development version of treekoR; for the stable release version, see treekoR.

Cytometry Cluster Hierarchy and Proportions to Parent

Bioconductor version: Development (3.14)

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. These associations are aimed to recapitulate the nested proportions prevalent in workflows inovlving manual gating, which are often overlooked in workflows using automatic clustering to identify cell populations. We developed treekoR to: Derive a hierarchical tree structure of cell clusters; measure the proportions to parent (proportions of cells each node in the tree relative to the number of cells belonging its parent node), in addition to the proportions to all (proportion of cells in each node relative to all cells); perform significance testing using the calculated proportions; and provide an interactive html visualisation to help highlight key results.

Author: Adam Chan [aut, cre], Ellis Patrick [ctb]

Maintainer: Adam Chan <adam.s.chan at sydney.edu.au>

Citation (from within R, enter citation("treekoR")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("treekoR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("treekoR")

 

HTML R Script vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, DifferentialExpression, FlowCytometry, ImmunoOncology, MassSpectrometry, SingleCell, Software, StatisticalMethod, Visualization
Version 1.1.0
In Bioconductor since BioC 3.13 (R-4.1) (< 6 months)
License GPL-3
Depends R (>= 4.1)
Imports stats, utils, tidyr, dplyr, magrittr, data.table, ggiraph, ggplot2, hopach, ape, ggtree, patchwork, SingleCellExperiment
LinkingTo
Suggests knitr, rmarkdown, BiocStyle, CATALYST, testthat (>= 3.0.0)
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package treekoR_1.1.0.tar.gz
Windows Binary treekoR_1.1.0.zip
macOS 10.13 (High Sierra) treekoR_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/treekoR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/treekoR
Package Short Url https://bioconductor.org/packages/treekoR/
Package Downloads Report Download Stats

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