This is the released version of scTreeViz; for the devel version, see scTreeViz.
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotationsBioconductor version: Release (3.21)
scTreeViz provides classes to support interactive data aggregation and visualization of single cell RNA-seq datasets with hierarchies for e.g. cell clusters at different resolutions. The `TreeIndex` class provides methods to manage hierarchy and split the tree at a given resolution or across resolutions. The `TreeViz` class extends `SummarizedExperiment` and can performs quick aggregations on the count matrix defined by clusters.
Author: Jayaram Kancherla [aut, cre], Hector Corrada Bravo [aut], Kazi Tasnim Zinat [aut], Stephanie Hicks [aut]
Maintainer: Jayaram Kancherla <jayaram.kancherla at gmail.com>
Citation (from within R, entercitation("scTreeViz")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scTreeViz")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scTreeViz")
Details biocViews GUI, Infrastructure, SingleCell, Software, Visualization Version 1.14.1 In Bioconductor since BioC 3.14 (R-4.1) (3.5 years) License Artistic-2.0 Depends R (>= 4.0), methods, epivizr, SummarizedExperiment Imports data.table, S4Vectors, digest, Matrix, Rtsne, httr, igraph, clustree, scran, sys, epivizrData, epivizrServer, ggraph, scater, Seurat, SingleCellExperiment, ggplot2, stats, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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