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
| Maintainer | Benjamin I Laufer <blaufer@gmail.com> |
| Author | Benjamin I Laufer [aut, cre], Brad A Friedman [aut] |
| License | Artistic-2.0 |
| URL | https://github.com/ben-laufer/scDotPlot |
| Bug Reports | https://github.com/ben-laufer/scDotPlot/issues |
| Downloads rank | 210 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, 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