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

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

Science Score: 13.0%

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Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bioconductor-source
  • License: mit
  • Language: R
  • Default Branch: devel
  • Size: 2.59 MB
Statistics
  • 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 License

README.md

SpatialCPie

SpatialCPie is an R package designed to facilitate cluster evaluation for spatial transcriptomics data by providing intuitive visualizations that display the relationship between clusters in order to guide the user during cluster identification, selection and further downstream applications.

Installation

Using devtools, execute the following from the R console: r devtools::install_github( "jbergenstrahle/SpatialCPie" ,build_opts=c("--no-resave-data", "--no-manual") )

Bioconductor version

SpatialCPie is currently on the developmental version of Bioconductor (3.9): https://bioconductor.org/packages/devel/bioc/html/SpatialCPie.html

Usage

See the vignette: r vignette("SpatialCPie", package="SpatialCPie")

Owner

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

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Dependencies

DESCRIPTION cran
  • R >= 3.6 depends
  • SummarizedExperiment >= 1.10.1 imports
  • colorspace >= 1.3 imports
  • data.table >= 1.12.2 imports
  • digest >= 0.6.21 imports
  • dplyr >= 0.7.6 imports
  • ggforce >= 0.3.0 imports
  • ggiraph >= 0.5.0 imports
  • ggplot2 >= 3.0.0 imports
  • ggrepel >= 0.8.0 imports
  • grid >= 3.5.1 imports
  • igraph >= 1.2.2 imports
  • lpSolve >= 5.6.13 imports
  • methods >= 3.5.0 imports
  • purrr >= 0.2.5 imports
  • readr >= 1.1.1 imports
  • rlang >= 0.2.2 imports
  • shiny >= 1.1.0 imports
  • shinyWidgets >= 0.4.8 imports
  • shinycssloaders >= 0.2.0 imports
  • shinyjs >= 1.0 imports
  • stats >= 3.6.0 imports
  • tibble >= 1.4.2 imports
  • tidyr >= 0.8.1 imports
  • tidyselect >= 0.2.4 imports
  • tools >= 3.6.0 imports
  • utils >= 3.5.0 imports
  • zeallot >= 0.1.0 imports
  • BiocStyle >= 2.8.2 suggests
  • jpeg >= 0.1 suggests
  • knitr >= 1.20 suggests
  • rmarkdown >= 1.10 suggests
  • testthat >= 2.0.0 suggests