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scDotPlot

Cluster a Single-cell RNA-seq Dot Plot

Bioconductor version: 3.23 · Package version: 1.6.0

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.

Installation

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

BiocManager::install("scDotPlot")

Details

MaintainerBenjamin I Laufer <blaufer@gmail.com>
AuthorBenjamin I Laufer [aut, cre], Brad A Friedman [aut]
LicenseArtistic-2.0
URLhttps://github.com/ben-laufer/scDotPlot
Bug Reportshttps://github.com/ben-laufer/scDotPlot/issues
Downloads rank210
Source branchRELEASE_3_23
biocViewsClustering, DifferentialExpression, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcription, Visualization

Documentation

Download

Dependencies

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

Suggests: AnnotationDbi, BiocStyle, knitr, rmarkdown, scran, scRNAseq, scuttle, SeuratObject, testthat, vdiffr