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 (4.9%) to scientific vocabulary
Repository
timeseriesNEM
Basic Info
- Host: GitHub
- Owner: cbg-ethz
- License: gpl-3.0
- Language: R
- Default Branch: master
- Size: 49.8 KB
Statistics
- Stars: 3
- Watchers: 4
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
timeseriesNEM
A method for mapping a non-interventional time series onto a static nested effects model, as inferred using the Bioconductor package nem.
Installing
Please make sure that you have the package devtools installed. Then run:
devtools::install_github("cbg-ethz/timeseriesNEM")
Creating the vignette
In order to install the vignette, add the option build_vignettes = TRUE to the above command. If the vignette is still not created, the following command should do the trick:
remotes::install_github("cbg-ethz/timeseriesNEM", build_opts = c("--no-resave-data", "--no-manual"), force = TRUE)
Owner
- Name: Computational Biology Group (CBG)
- Login: cbg-ethz
- Kind: organization
- Location: Basel, Switzerland
- Website: https://www.bsse.ethz.ch/cbg
- Twitter: cbg_ethz
- Repositories: 91
- Profile: https://github.com/cbg-ethz
Beerenwinkel Lab at ETH Zurich
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
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Top Labels
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Dependencies
- R >= 3.5.0 depends
- lpSolve * imports
- nem * imports
- knitr * suggests
- rmarkdown * suggests