https://github.com/bioconductor-source/tissueenrich
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.1%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: bioconductor-source
- License: other
- Language: R
- Default Branch: devel
- Size: 59.9 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
License
README.md
TissueEnrich: R package to carry out tissue-specific gene enrichment.
Requirement
You need R version above 3.5 to run this application. Other dependencies are:
dplyr (>= 0.7.3)ensurer (>= 1.1)ggplot2 (>= 2.2.1)tidyr (>=0.8.0)SummarizedExperiment (>= 1.6.5)GSEABase (>= 1.38.2)
How to install the R package
- Download or fork the bitbucket repository
- Open R terminal or RStudio terminal
- Install Dependencies
install.packages(c("dplyr","ensurer","ggplot2","tidyr"))install.packages("BiocManager")BiocManager::install("SummarizedExperiment")BiocManager::install("GSEABase")- Now install the
devtoolspackage. install.packages(devtools)library(devtools)- Run command
install_github("Tuteja-Lab/TissueEnrich")
More about the package
- Check more details about the package in the vignette
vignette("TissueEnrich")
Owner
- Name: (WIP DEV) Bioconductor Packages
- Login: bioconductor-source
- Kind: organization
- Email: maintainer@bioconductor.org
- Website: https://bioconductor.org
- Repositories: 1
- Profile: https://github.com/bioconductor-source
Source code for packages accepted into Bioconductor
GitHub Events
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Last Year
Dependencies
DESCRIPTION
cran
- GSEABase >= 1.38.2 depends
- R >= 3.5 depends
- SummarizedExperiment >= 1.6.5 depends
- ggplot2 >= 2.2.1 depends
- dplyr >= 0.7.3 imports
- stats * imports
- tidyr >= 0.8.0 imports
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests