CytoSimplex

Simplex plot showing similarity between single-cells and clusters

https://github.com/welch-lab/cytosimplex

Science Score: 39.0%

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  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Simplex plot showing similarity between single-cells and clusters

Basic Info
  • Host: GitHub
  • Owner: welch-lab
  • Language: R
  • Default Branch: main
  • Size: 18.3 MB
Statistics
  • Stars: 5
  • Watchers: 2
  • Forks: 2
  • Open Issues: 1
  • Releases: 2
Created about 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

CytoSimplex

R_CMD_checkcodecovSeuratsce PyPI version

CytoSimplex is an R package that creates simplex plot showing similarity between single-cells and terminals represented by clusters of cells. RNA velocity can be added as another layer of information.

For Python users, we have a Python package CytoSimplex that provides the same functionalities.

Installation

The package is developed and tested under R>=4.2.0. Users can install R following the instruction provided on CRAN. RStudio is a recommended IDE for working with R projects.

To install CytoSimplex in R, run the following command in an R console:

R install.packages("CytoSimplex")

For the latest developmental version, run the following command in an R console:

R if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools") devtools::install_github("welch-lab/CytoSimplex")

Tutorial

We have created a documentation website for posting example tutorials walking through the process from loading the provided example data and creating different types of visualization.

Citation

If you used CytoSimplex in your work, please cite the following work published on Bioinformatics:

Jialin Liu, Yichen Wang, Chen Li, Yichen Gu, Noriaki Ono and Joshua D. Welch, CytoSimplex: Visualizing Single-cell Fates and Transitions on a Simplex, 2025, Bioinformatics, (https://doi.org/10.1093/bioinformatics/btaf119)

Owner

  • Name: welch-lab
  • Login: welch-lab
  • Kind: organization

GitHub Events

Total
  • Create event: 1
  • Release event: 1
  • Issues event: 2
  • Watch event: 4
  • Issue comment event: 4
  • Push event: 7
  • Pull request event: 2
  • Fork event: 2
Last Year
  • Create event: 1
  • Release event: 1
  • Issues event: 2
  • Watch event: 4
  • Issue comment event: 4
  • Push event: 7
  • Pull request event: 2
  • Fork event: 2

Packages

  • Total packages: 1
  • Total downloads:
    • cran 586 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: CytoSimplex

Simplex Visualization of Cell Fate Similarity in Single-Cell Data

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 586 Last month
Rankings
Dependent packages count: 28.6%
Dependent repos count: 36.7%
Average: 50.4%
Downloads: 85.9%
Maintainers (1)
Last synced: 10 months ago

Dependencies

.github/workflows/R_CMD_check.yml actions
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
DESCRIPTION cran
  • R >= 3.6 depends
  • methods * depends
  • stats * depends
  • Matrix * imports
  • Rcpp * imports
  • ggplot2 * imports
  • plot3D * imports
  • rlang * imports
  • Seurat * suggests
  • SeuratObject * suggests
  • SingleCellExperiment * suggests
  • SummarizedExperiment * suggests
  • knitr * suggests
  • magick * suggests
  • patchwork * suggests
  • rgl * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests