https://github.com/bioconductor-source/scdotplot

https://github.com/bioconductor-source/scdotplot

Science Score: 13.0%

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Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bioconductor-source
  • Language: R
  • Default Branch: devel
  • Size: 22.5 KB
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  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog

README.md

scDotPlot

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 multiple 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

scDotPlot can be installed from Bioconductor:

``` r if (!requireNamespace("BiocManager", quietly = TRUE)){ install.packages("BiocManager") }

BiocManager::install("scDotPlot") ```

To install the development version directly from GitHub:

```r if(!requireNamespace("remotes", quietly = TRUE)){ install.packages("remotes") }

remotes::install_github("ben-laufer/scDotPlot") ```

Examples

See the package vignette.

Owner

  • Name: (WIP DEV) Bioconductor Packages
  • Login: bioconductor-source
  • Kind: organization
  • Email: maintainer@bioconductor.org

Source code for packages accepted into Bioconductor

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Dependencies

DESCRIPTION cran
  • R >= 4.4.0 depends
  • BiocGenerics * imports
  • Seurat * imports
  • SingleCellExperiment * imports
  • aplot * imports
  • cli * imports
  • dplyr * imports
  • ggplot2 * imports
  • ggsci * imports
  • ggtree * imports
  • grDevices * imports
  • magrittr * imports
  • purrr * imports
  • rlang * imports
  • scales * imports
  • scater * imports
  • stats * imports
  • stringr * imports
  • tibble * imports
  • tidyr * imports
  • AnnotationDbi * suggests
  • BiocStyle * suggests
  • SeuratObject * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • scRNAseq * suggests
  • scran * suggests
  • scuttle * suggests
  • testthat * suggests
  • vdiffr * suggests