booleabayes

Name	booleabayes JSON
Version	0.0.3 JSON
	download
home_page	https://github.com/smgroves/BooleaBayes
Summary	A suite for network inference from transcriptomics data
upload_time	2022-09-23 02:56:57
maintainer
docs_url	None
author	Sarah Groves
requires_python	>=3.6
license
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            =======================================================
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

            

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