Metadata-Version: 2.1
Name: booleabayes
Version: 0.0.5
Summary: A suite for network inference from transcriptomics data
Home-page: https://github.com/smgroves/BooleaBayes
Author: Sarah Groves
Author-email: sarahmaddoxgroves@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Provides-Extra: doc
License-File: LICENSE

=======================================================
BooleaBayes
=======================================================
.. image:: https://badge.fury.io/py/booleabayes.svg
    :target: https://pypi.org/project/booleabayes/
    :alt: Latest PYPi Version

BooleaBayes is a suite of network inference tools to derive and simulate gene regulatory networks from transcriptomics data. To see how BooleaBayes could be applied to your own data, see our publication in PLOS Computational Biology, `Wooten, Groves et al. (2019) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007343>`_. 


Installation
~~~~~~~~~~~~~~~~~

To install ``BooleaBayes``, please use::

    pip install booleabayes

Dependencies
---------------------

The ``graph-tool`` python package will need to be installed. This can be installed with `Conda`, `homebrew`, etc as seen `here <https://git.skewed.de/count0/graph-tool/-/wikis/installation-instructions>`_. All other dependencies will be installed with this package.

BooleaBayes Usage:
~~~~~~~~~~~~~~~~~~~~~~~~

* ``net`` = make or modify network structure
* ``load`` = loading data
* ``proc`` = processing
* ``rw`` = random walk
* ``plot`` = plotting
* ``tl`` = tools
* ``utils`` = utilities
