https://github.com/grosstor/response-logic
A network inference method based on a simple response logic with minimal presumptions
https://github.com/grosstor/response-logic
logic-programming network-inference response-logic reverse-engineering systems-biology
Last synced: about 1 month ago
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A network inference method based on a simple response logic with minimal presumptions
- Host: GitHub
- URL: https://github.com/grosstor/response-logic
- Owner: GrossTor
- License: gpl-3.0
- Created: 2019-01-24T15:31:06.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-07-08T14:14:22.000Z (almost 4 years ago)
- Last Synced: 2025-02-10T01:17:46.561Z (3 months ago)
- Topics: logic-programming, network-inference, response-logic, reverse-engineering, systems-biology
- Language: Python
- Size: 110 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# response-logic
[A network inference method based on a simple response logic with minimal presumptions](https://doi.org/10.1093/bioinformatics/btz326). This is the Python package. Various response logic projects can be found in a dedicated [repository](https://github.com/GrossTor/response-logic-projects).
This Python package works with clingo version 5.5.0 which is part of [Potassco, the Potsdam Answer Set Solving Collection](https://potassco.org/).
It can be [installed](https://github.com/potassco/clingo/blob/master/INSTALL.md) for example with [Anaconda](https://www.anaconda.com/):
```
conda install -c potassco clingo=5.5.0
```
Then you can install the response-logic package with [pip](https://pypi.org/project/pip/):
```
pip install git+https://github.com/GrossTor/response-logic#egg=response_logic
```
The response-logic package was used in various reverse engineering projects, which can be found in the [response-logic-projects repository](https://github.com/GrossTor/response-logic-projects). This includes the `toy_model` project that explains how to use the response-logic package.
The response logic approach can be cited with the following publication: [Robust network inference using response logic](https://doi.org/10.1093/bioinformatics/btz326).