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CytoSimplex: Simplex Visualization of Cell Fate Similarity in Single-Cell Data

Create simplex plots to visualize the similarity between single-cells and selected clusters in a 1-/2-/3-simplex space. Velocity information can be added as an additional layer. See Liu J, Wang Y et al (2023) <doi:10.1101/2023.12.07.570655> for more details.

Version: 0.1.1
Depends: stats, methods, R (≥ 3.6)
Imports: ggplot2, Matrix, plot3D, Rcpp, rlang
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, magick, patchwork, rgl, rmarkdown, Seurat, SeuratObject, SingleCellExperiment, SummarizedExperiment, testthat (≥ 3.0.0)
Published: 2023-12-15
DOI: 10.32614/CRAN.package.CytoSimplex
Author: Yichen Wang ORCID iD [aut, cre], Jialin Liu ORCID iD [aut], Joshua Welch [cph]
Maintainer: Yichen Wang <wayichen at umich.edu>
License: GPL-3
URL: https://welch-lab.github.io/CytoSimplex/, https://github.com/welch-lab/CytoSimplex
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: CytoSimplex results

Documentation:

Reference manual: CytoSimplex.pdf
Vignettes: Simplex Visualization of Cell Fate Similarity in Single-Cell Data

Downloads:

Package source: CytoSimplex_0.1.1.tar.gz
Windows binaries: r-devel: CytoSimplex_0.1.1.zip, r-release: CytoSimplex_0.1.1.zip, r-oldrel: CytoSimplex_0.1.1.zip
macOS binaries: r-release (arm64): CytoSimplex_0.1.1.tgz, r-oldrel (arm64): CytoSimplex_0.1.1.tgz, r-release (x86_64): CytoSimplex_0.1.1.tgz, r-oldrel (x86_64): CytoSimplex_0.1.1.tgz
Old sources: CytoSimplex archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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