scBubbletree
This is the released version of scBubbletree; for the devel version, see scBubbletree.
Quantitative visual exploration of scRNA-seq data
Bioconductor version: Release (3.20)
scBubbletree is a quantitative method for the visual exploration of scRNA-seq data, preserving key biological properties such as local and global cell distances and cell density distributions across samples. It effectively resolves overplotting and enables the visualization of diverse cell attributes from multiomic single-cell experiments. Additionally, scBubbletree is user-friendly and integrates seamlessly with popular scRNA-seq analysis tools, facilitating comprehensive and intuitive data interpretation.
Author: Simo Kitanovski [aut, cre]
Maintainer: Simo Kitanovski <simokitanovski at gmail.com>
citation("scBubbletree")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scBubbletree")
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("scBubbletree")
User Manual: scBubbletree | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Clustering, RNASeq, SingleCell, Software, Transcriptomics, Visualization |
Version | 1.8.0 |
In Bioconductor since | BioC 3.16 (R-4.2) (2 years) |
License | GPL-3 + file LICENSE |
Depends | R (>= 4.2.0) |
Imports | reshape2, BiocParallel, ape, scales, Seurat, ggplot2, ggtree, patchwork, proxy, methods, stats, base, utils, dplyr |
System Requirements | Python (>= 3.6), leidenalg (>= 0.8.2) |
URL | https://github.com/snaketron/scBubbletree |
Bug Reports | https://github.com/snaketron/scBubbletree/issues |
See More
Suggests | BiocStyle, knitr, testthat, cluster, SingleCellExperiment |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scBubbletree_1.8.0.tar.gz |
Windows Binary (x86_64) | scBubbletree_1.8.0.zip (64-bit only) |
macOS Binary (x86_64) | scBubbletree_1.8.0.tgz |
macOS Binary (arm64) | scBubbletree_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scBubbletree |
Source Repository (Developer Access) | git clone [email protected]:packages/scBubbletree |
Bioc Package Browser | https://code.bioconductor.org/browse/scBubbletree/ |
Package Short Url | https://bioconductor.org/packages/scBubbletree/ |
Package Downloads Report | Download Stats |