A suite for network inference from transcriptomics data
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file booleabayes-0.0.6.tar.gz.
File metadata
- Download URL: booleabayes-0.0.6.tar.gz
- Upload date:
- Size: 33.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
58bd2cde782612506eef251aa4eb48cacc39dd6c85d6dc2273d1849bdab24f44
|
|
| MD5 |
b99a498147afa9e531e5e18b560144c8
|
|
| BLAKE2b-256 |
844974b07a3c553103f1fbc21c21cda9d6a48fa4f611936c398da2f81f8ea868
|
File details
Details for the file booleabayes-0.0.6-py3-none-any.whl.
File metadata
- Download URL: booleabayes-0.0.6-py3-none-any.whl
- Upload date:
- Size: 36.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b6c9d576c3382ddcac6f79f9e81c672268812f9bb82065844e5156b4a1e58c93
|
|
| MD5 |
ad50b948cfa89af656c46b24e8dba964
|
|
| BLAKE2b-256 |
f78e38a8033cd6e7838e20e05996a6a2ceb5551dba2d88cd16f099f905bb68ce
|
