ctgGEM: Generating Tree Hierarchy Visualizations from Gene Expression Data

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.

Package details

AuthorMark Block and Carrie Minette
Bioconductor views Clustering DataImport DifferentialExpression GeneExpression ImmunoOncology MultipleComparison QualityControl RNASeq Sequencing SingleCell Visualization
MaintainerUSD Biomedical Engineering <bicbioeng@gmail.com>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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ctgGEM documentation built on Nov. 8, 2020, 5:54 p.m.