Skip to main content

A suite for network inference from transcriptomics data

Project description

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).

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. 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

booleabayes-0.1.9.tar.gz (41.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

booleabayes-0.1.9-py3-none-any.whl (44.7 kB view details)

Uploaded Python 3

File details

Details for the file booleabayes-0.1.9.tar.gz.

File metadata

  • Download URL: booleabayes-0.1.9.tar.gz
  • Upload date:
  • Size: 41.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.12

File hashes

Hashes for booleabayes-0.1.9.tar.gz
Algorithm Hash digest
SHA256 af3b8e1777741bfb8b2634ccc2515cc3ce2fe801a8740b3fed7036716ca19fce
MD5 e860dc84f0d2413c895419043940e4aa
BLAKE2b-256 3df8512b35ff97653211d6511f3d2bd606e64cba4ca9c1c57c1dcac2a8d3473b

See more details on using hashes here.

File details

Details for the file booleabayes-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: booleabayes-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 44.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.12

File hashes

Hashes for booleabayes-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 1729bafe16ba86fe770130acf395015a2e744c5e9e6c57eded1ab26df0e16c4e
MD5 a52e0b8ee566be1dc51dd91ce5972a9e
BLAKE2b-256 2c5ae1a40a176887abef8871192caebe13bce9cb504eaf4b81f7992ebe901935

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page