Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: PMBio
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 320 MB
Statistics
  • Stars: 38
  • Watchers: 13
  • Forks: 6
  • Open Issues: 7
  • Releases: 6
Created about 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

DeepRVAT

Rare variant association testing using deep learning and data-driven burden scores

Documentation Status

Installation and usage

Please consult our documentation

Citation

If you use this package, please cite:

Clarke, B., Holtkamp, E. et al. Integration of variant annotations using deep set networks boosts rare variant association testing. Nat Genet 56, 22712280 (2024). https://doi.org/10.1038/s41588-024-01919-z

Credits

Portions of code for the seed gene discovery methods have been adapted from SEAK

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Cookiecutter: https://github.com/audreyr/cookiecutter audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

Owner

  • Name: Probabilistic Models in Biology
  • Login: PMBio
  • Kind: organization

GitHub Events

Total
  • Create event: 27
  • Release event: 4
  • Issues event: 40
  • Watch event: 10
  • Delete event: 7
  • Member event: 1
  • Issue comment event: 55
  • Push event: 68
  • Pull request review event: 9
  • Pull request event: 24
  • Fork event: 5
Last Year
  • Create event: 27
  • Release event: 4
  • Issues event: 40
  • Watch event: 10
  • Delete event: 7
  • Member event: 1
  • Issue comment event: 55
  • Push event: 68
  • Pull request review event: 9
  • Pull request event: 24
  • Fork event: 5

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 16
  • Total pull requests: 5
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 22 days
  • Total issue authors: 7
  • Total pull request authors: 2
  • Average comments per issue: 2.44
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 15
  • Pull requests: 5
  • Average time to close issues: 25 days
  • Average time to close pull requests: 22 days
  • Issue authors: 6
  • Pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • PaulineTL (10)
  • Jonas-B-Frank (10)
  • pichuan (4)
  • maia-munteanu (3)
  • bfclarke (3)
  • Antonio-Nappi (2)
  • endast (2)
  • m4mbo (1)
  • rdey-insitro (1)
  • trevorcousins (1)
  • AppWick-hub (1)
  • boutrys (1)
  • MZoodsma (1)
  • OmerRonen (1)
Pull Request Authors
  • Marcel-Mueck (28)
  • endast (20)
  • meyerkm (14)
  • HolEv (7)
  • bfclarke (5)
  • fmunzlin (1)
  • lattaai4 (1)
Top Labels
Issue Labels
bug (1) enhancement (1)
Pull Request Labels
enhancement (8) bug (5) wait (1) documentation (1)