scDotPlot

Cluster a Single-cell RNA-seq Dot Plot


Bioconductor version: Release (3.20)

Dot plots of single-cell RNA-seq data allow for an examination of the relationships between cell groupings (e.g. clusters) and marker gene expression. The scDotPlot package offers a unified approach to perform a hierarchical clustering analysis and add annotations to the columns and/or rows of a scRNA-seq dot plot. It works with SingleCellExperiment and Seurat objects as well as data frames.

Author: Benjamin I Laufer [aut, cre], Brad A Friedman [aut]

Maintainer: Benjamin I Laufer <blaufer at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("scDotPlot")

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("scDotPlot")
scDotPlot HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, DifferentialExpression, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcription, Visualization
Version 1.0.0
In Bioconductor since BioC 3.20 (R-4.4) (< 6 months)
License Artistic-2.0
Depends R (>= 4.4.0)
Imports aplot, BiocGenerics, cli, dplyr, ggplot2, ggsci, ggtree, grDevices, magrittr, purrr, rlang, scales, scater, Seurat, SingleCellExperiment, stats, stringr, tibble, tidyr
System Requirements
URL https://github.com/ben-laufer/scDotPlot
Bug Reports https://github.com/ben-laufer/scDotPlot/issues
See More
Suggests AnnotationDbi, BiocStyle, knitr, rmarkdown, scran, scRNAseq, scuttle, SeuratObject, testthat, vdiffr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package scDotPlot_1.0.0.tar.gz
Windows Binary (x86_64) scDotPlot_1.0.0.zip
macOS Binary (x86_64) scDotPlot_1.0.0.tgz
macOS Binary (arm64) scDotPlot_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scDotPlot
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scDotPlot
Bioc Package Browser https://code.bioconductor.org/browse/scDotPlot/
Package Short Url https://bioconductor.org/packages/scDotPlot/
Package Downloads Report Download Stats