ctgGEM
This package is for version 3.15 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see ctgGEM.
Generating Tree Hierarchy Visualizations from Gene Expression Data
Bioconductor version: 3.15
Cell Tree Generator for Gene Expression Matrices (ctgGEM) streamlines the building of cell-state hierarchies from single-cell gene expression data across multiple existing tools for improved comparability and reproducibility. It supports pseudotemporal ordering algorithms and visualization tools from monocle, cellTree, TSCAN, sincell, and destiny, and provides a unified output format for integration with downstream data analysis workflows and Cytoscape.
Author: Mark Block [aut], Carrie Minette [aut], Evgeni Radichev [aut], Etienne Gnimpieba [aut], Mariah Hoffman [aut], USD Biomedical Engineering [aut, cre]
Maintainer: USD Biomedical Engineering <bicbioeng at gmail.com>
citation("ctgGEM")):
Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ctgGEM")
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("ctgGEM")
Details
See More
Package Archives
Follow Installation instructions to use this package in your R session.