https://github.com/cbg-ethz/scdef
Deep exponential families for single-cell data.
Science Score: 36.0%
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
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.2%) to scientific vocabulary
Keywords
Repository
Deep exponential families for single-cell data.
Basic Info
- Host: GitHub
- Owner: cbg-ethz
- Language: Python
- Default Branch: main
- Homepage: https://cbg-ethz.github.io/scDEF/
- Size: 35 MB
Statistics
- Stars: 20
- Watchers: 4
- Forks: 1
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Deep exponential families for single-cell data. scDEF learns hierarchies of cell states and their gene signatures from scRNA-seq data. The method can be used for dimensionality reduction, visualization, gene signature identification, clustering at multiple levels of resolution, and batch integration. The informed version (iscDEF) can additionally take known gene lists to jointly assign cells to types and find clusters within each type.
To install scDEF and get started, read the documentation.
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
- Watch event: 1
- Push event: 44
- Pull request event: 4
- Create event: 1
Last Year
- Watch event: 1
- Push event: 44
- Pull request event: 4
- Create event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 1
- Total pull requests: 11
- Average time to close issues: about 1 month
- Average time to close pull requests: about 18 hours
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 1.0
- Average comments per pull request: 0.18
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 10
- Average time to close issues: about 1 month
- Average time to close pull requests: about 20 hours
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 1.0
- Average comments per pull request: 0.2
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- pedrofale (1)
Pull Request Authors
- pedrofale (16)
- NBMueller (3)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 62 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 33
- Total maintainers: 1
pypi.org: scdef
Extract hierarchical signatures of cell state from single-cell data.
- Homepage: https://github.com/cbg-ethz/scdef
- Documentation: https://scdef.readthedocs.io/
- License: MIT
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Latest release: 0.1.10
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
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- actions/checkout v2 composite
- actions/setup-python v2 composite
- snok/install-poetry v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
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- snok/install-poetry v1 composite
- ts-graphviz/setup-graphviz v1 composite
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- mkdocs ^1.4.3 develop
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- mkdocs-material ^9.1.18 develop
- mkdocstrings ^0.22.0 develop
- notebook ~6.0.0 develop
- pytest ^6.2.4 develop
- anndata ^0.9.2
- click ^8.0.1
- graphviz ^0.14.2
- gseapy ^1.0.4
- igraph ^0.10.4
- jax >=0.4.13
- jaxlib >=0.4.13
- numba ~0.56.0
- numpy ^1.23.4
- pandas ^1.5.1
- python >=3.8,<4.0
- scanpy ^1.9.5
- tqdm ^4.64.0