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DSGRN (Dynamic Signatures Generated by Regulatory Networks)

Project description

DSGRN

Dynamic Signatures Generated by Regulatory Networks

Build Status Coverage StatusDOI

Documentation

Overview

This project uses computational dynamics to produce dynamical surveys of switching models of regulatory networks. The resulting data is stored into a database which can then be queried for further research.

Installation

To get the latest tagged version from the PyPI repository:

pip install DSGRN

To uninstall:

pip uninstall DSGRN

Installing from source

Assuming you have a C++ compiler and the Python 3 dependencies installed on your system, you can install from source with the command:

pip install --force-reinstall --no-deps --no-cache-dir git+https://github.com/marciogameiro/DSGRN.git

Alternatively, you can clone the GitHub repository and install with:

git clone https://github.com/marciogameiro/DSGRN.git
cd DSGRN
./install.sh

Usage

To check if DSGRN is installed do

import DSGRN

network = DSGRN.Network("X1 : (~X1)(X2)\n X2 : (X1)(~X2)")
DSGRN.DrawGraph(network)

This should plot the network

See the GettingStarted.ipynb jupyter notebook in the Tutorials folder for the basic usage of DSGRN.

Examples and Documentation

See Tutorials folder for examples.

Also see the documentation.

Project details


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BLAKE2b-256 3e3db6962d9c59d711df608f9073aea2627fae9b7c163bfd57c0bef4971f9218

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Provenance

The following attestation bundles were made for dsgrn-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl:

Publisher: publish_wheels.yml on marciogameiro/DSGRN_Wheels

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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