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-0.1.2.tar.gz (34.2 kB view details)

Uploaded Source

Built Distribution

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

booleabayes-0.1.2-py3-none-any.whl (36.8 kB view details)

Uploaded Python 3

File details

Details for the file booleabayes-0.1.2.tar.gz.

File metadata

  • Download URL: booleabayes-0.1.2.tar.gz
  • Upload date:
  • Size: 34.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.6

File hashes

Hashes for booleabayes-0.1.2.tar.gz
Algorithm Hash digest
SHA256 858246a35b9a20dee395591125e2cac55a51a570bbad9a6f0bbab6351d8506d8
MD5 c25f872e7dc8b61e59e5db02d2dfc6e8
BLAKE2b-256 d0346a018470e5a2dbd8bd724f6a9c72a98c58d091e719d4ead25b26641b9784

See more details on using hashes here.

File details

Details for the file booleabayes-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: booleabayes-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 36.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.6

File hashes

Hashes for booleabayes-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d23b0b6f17df7d9cd31ca3cd0449f8c39be895d17f331103869c2828a159f59c
MD5 834ba502a0bd2f2361b91ed44c82e4ee
BLAKE2b-256 370f2f00989ff15925a5f06011cdac0c37ad53e954d0899d18b8b4ee34a1e8d5

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