https://github.com/systemsgenetics/func-e
FUNC-E performs functional enrichment of gene lists. It follows a similar approach to that of DAVID
https://github.com/systemsgenetics/func-e
Keywords
bioinformatics functional-enrichment-analysis
Last synced: 11 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
FUNC-E performs functional enrichment of gene lists. It follows a similar approach to that of DAVID
- Host: GitHub
- URL: https://github.com/systemsgenetics/func-e
- Owner: SystemsGenetics
- License: gpl-3.0
- Created: 2016-11-11T18:25:44.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-09-26T00:16:44.000Z (over 1 year ago)
- Last Synced: 2024-03-25T02:01:38.874Z (about 1 year ago)
- Topics: bioinformatics, functional-enrichment-analysis
- Language: Python
- Homepage:
- Size: 7.74 MB
- Stars: 5
- Watchers: 6
- Forks: 3
- Open Issues: 4
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Owner metadata
- Name: SystemsGenetics
- Login: SystemsGenetics
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/15792463?v=4
- Repositories: 11
- Last ynced at: 2023-02-28T08:05:20.815Z
- Profile URL: https://github.com/SystemsGenetics
GitHub Events
Total
- Create event: 7
- Release event: 5
- Issues event: 20
- Watch event: 4
- Delete event: 2
- Issue comment event: 12
- Push event: 43
- Pull request event: 4
- Fork event: 5
Last Year
- Create event: 2
- Delete event: 1
- Issue comment event: 4
- Issues event: 3
- Push event: 3
- Release event: 3
- Watch event: 1
Committers metadata
Last synced: over 1 year ago
Total Commits: 54
Total Committers: 3
Avg Commits per committer: 18.0
Development Distribution Score (DDS): 0.093
Commits in past year: 3
Committers in past year: 1
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Stephen Ficklin | s****n@g****m | 49 |
| Ethan Bensman | e****9@g****m | 3 |
| William Poehlman | w****m@c****u | 2 |
Committer domains:
- clemson.edu: 1
Issue and Pull Request metadata
Last synced: 12 months ago
Total issues: 13
Total pull requests: 3
Average time to close issues: over 1 year
Average time to close pull requests: 18 days
Total issue authors: 3
Total pull request authors: 2
Average comments per issue: 0.69
Average comments per pull request: 0.67
Merged pull request: 3
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- spficklin (6)
- JohnHadish (5)
- ebenz99 (2)
Top Pull Request Authors
- ebenz99 (2)
- spficklin (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 12 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 2
- Total maintainers: 1
pypi.org: func-e
FUNC-E is a python library and script for functional enrichment of gene lists. It follows a similar approach to that of DAVID (https://david.ncifcrf.gov/) in that it performs enrichment analysis using a Fisher's test but then clusters enriched annotations using Kappa Statistics. FUNC-E allows the user to provide their own annotation lists. It is fully executable on a UNIX command-line.
- Homepage: https://systemsgenetics.github.io/FUNC-E/
- Documentation: https://func-e.readthedocs.io/
- Licenses: GNU General Public License v3.0
- Latest release: 2.0.1 (published over 1 year ago)
- Last Synced: 2024-05-27T03:21:32.665Z (12 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 12 Last month
-
Rankings:
- Dependent packages count: 10.082%
- Forks count: 16.827%
- Average: 20.557%
- Dependent repos count: 21.62%
- Stargazers count: 25.019%
- Downloads: 29.237%
- Maintainers (1)
Dependencies
- numpy *
- pandas *
- progressbar2 *
- requests *
- scipy *
- sklearn *
- statsmodels *
- ubuntu 18.04 build
Score: 5.934894195619588