https://github.com/cytomining/cytoplot
[Deprecated] Package for visualizing high-dimensional single-cell data
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (7.0%) to scientific vocabulary
Keywords
Repository
[Deprecated] Package for visualizing high-dimensional single-cell data
Basic Info
Statistics
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 5
- Releases: 0
Topics
Metadata Files
README.md
This package is deprecated and will no longer be supported. Please use at your own risk!
cytoplot
Package for visualizing high-dimensional single-cell data
Installation
You may need to install some libraries:
OSX:
brew install fftw libtiff
Ubuntu:
sudo apt-get install -y libfftw3-dev libtiff5 libtiff5-dev
Install the package:
```R install.packages("devtools")
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install(version = "3.10")
devtools::installgithub("cytomining/cytoplot", dependencies = TRUE, buildvignettes = TRUE, repos = BiocInstaller::biocinstallRepos()) ```
You may need to do run that again in order to build the vignettes correctly (seems like a bug in install_github):
R
devtools::install_github("cytomining/cytoplot",
dependencies = TRUE,
build_vignettes = TRUE,
force = TRUE,
repos = BiocInstaller::biocinstallRepos())
Owner
- Name: cytomining
- Login: cytomining
- Kind: organization
- Repositories: 27
- Profile: https://github.com/cytomining
GitHub Events
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Dependencies
- R >= 3.6.0 depends
- EBImage >= 4.28.1 imports
- dplyr >= 0.5.0 imports
- futile.logger >= 1.4.3 imports
- lazyeval >= 0.2.0 imports
- magrittr >= 1.5 imports
- purrr >= 0.2.2 imports
- readr >= 1.0.0 imports
- stringr >= 1.1.0 imports
- tibble >= 1.2 imports
- tidyr >= 0.6.0 imports
- knitr >= 1.14 suggests
- rmarkdown >= 1.0 suggests
- testthat >= 1.0.2 suggests