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-0.1.11.tar.gz (47.1 kB view details)

Uploaded Source

Built Distribution

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

booleabayes-0.1.11-py3-none-any.whl (50.0 kB view details)

Uploaded Python 3

File details

Details for the file booleabayes-0.1.11.tar.gz.

File metadata

  • Download URL: booleabayes-0.1.11.tar.gz
  • Upload date:
  • Size: 47.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.12

File hashes

Hashes for booleabayes-0.1.11.tar.gz
Algorithm Hash digest
SHA256 9b31d021f20bbabcb68bb66d4967f0ae40d47eefaee6c58d9cf6ebfcc0a88434
MD5 3dea1ce5dd5dcf8521864749cfa92bf6
BLAKE2b-256 4d46e1437e2d7ef112f43bb54125cb36f58a8c32b4e86e8274ab113cda571cfd

See more details on using hashes here.

File details

Details for the file booleabayes-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: booleabayes-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 50.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.12

File hashes

Hashes for booleabayes-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 3533719ab3744b1d4319f858b98be9368d87a21f3308a015aa516aeafa386946
MD5 a5747d2a015a091583411880ac3e871e
BLAKE2b-256 cc77ca77bd673897590d9d0087c8f7106876444fa45f9f7defa80cb274d308c8

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