ingranalyze

Influence graph analysis, consistency check, diagnosis, repair and prediction

https://github.com/bioasp/ingranalyze

Science Score: 10.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 3 committers (66.7%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.8%) to scientific vocabulary

Keywords

cell-signalling

Keywords from Contributors

metabolic-pathways metabolic-reconstruction
Last synced: 11 months ago · JSON representation

Repository

Influence graph analysis, consistency check, diagnosis, repair and prediction

Basic Info
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Archived
Topics
cell-signalling
Created over 12 years ago · Last pushed almost 5 years ago
Metadata Files
Readme Changelog License

README.md

Warning

Ingranalyze is not maintained anymore. You might want to consider Iggy as an alternatives for current work.

PyPI version

Installation

You can install ingranalyze by running:

$ pip3 install --user ingranalyze

On Linux the executable script can then be found in ~/.local/bin

and on MacOS the script is under /Users/YOURUSERNAME/Library/Python/3.2/bin.

Usage

Typical usage is:

$ ingranalyze.py --mics --repair 5 networkfile observationfile

For more options you can ask for help as follows:

$ ingranalyze.py -h
usage: ingranalyze.py [-h] [--mics] [--repair {1,2,3,4,5}] [--list_repairs] networkfile observationfile
positional arguments:
  networkfile           influence graph in bioquali format
  observationfile       observations in bioquali format

optional arguments:
  -h, --help            show this help message and exit
  --mics                compute minimal inconsistent cores
  --repair {1,2,3,4,5}  choose repair method: 1 flip observed variations, 2
                        flip influences, 3 define network nodes as inputs, 4
                        define network nodes as input in an experiment (use
                        only in case of multiple experiments), 5 add
                        influences. default is 3
  --list_repairs        compute all minimal repair sets

Samples

Sample files for yeast are available here: yeast_guelzim.net and yeast_snf2.obs

Owner

  • Name: BioASP
  • Login: bioasp
  • Kind: organization
  • Email: bioasp@gmail.com

ASP-based software for Systems Biology

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 39
  • Total Committers: 3
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.077
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Sven Thiele s****8@g****m 36
Sven Thiele t****s@p****e 2
Sven Thiele s****e@u****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 2
  • Total pull requests: 2
  • Average time to close issues: about 1 year
  • Average time to close pull requests: less than a minute
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 2.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • 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
Issue Authors
  • sthiele (1)
  • akittas (1)
Pull Request Authors
  • sthiele (2)
Top Labels
Issue Labels
bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 5 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 3
  • Total versions: 10
  • Total maintainers: 1
pypi.org: ingranalyze

Influence graph analysis, consistency check, diagnosis, repair and prediction.

  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 3
  • Downloads: 5 Last month
Rankings
Dependent repos count: 9.0%
Dependent packages count: 10.0%
Average: 22.6%
Stargazers count: 23.1%
Forks count: 29.8%
Downloads: 41.3%
Maintainers (1)
Last synced: 11 months ago

Dependencies

setup.py pypi
  • pyasp *