bnfinder
BNFinder - tool for learning bayesian networks.
It can be used for both dynamic and static networks. It is written in python (requires version >= 3.8), and distributed under GNU GPL Library version 2.
The installation is performed by a single command in the source directory (it may require the administrator privileges):
python setup.py install
Or install from PyPI:
pip install BNfinder
During the installation it will automaticaly setup scipy python packages if needed. Also you can run it without installing:
python bnf --help
You can also refer to previous version:
http://bioputer.mimuw.edu.pl/software/bnf/
Latest docs are in the doc folder of the repo. Here is the article describing latest version of BNFinder:
Frolova A, Wilczyński B. (2018) Distributed Bayesian networks reconstruction on the whole genome scale. PeerJ 6:e5692 https://doi.org/10.7717/peerj.5692
Metadata
Release files for bnfinder3 3.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bnfinder3-3.0.0.tar.gz | 2.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bnfinder3-3.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.5 MB
Release files / bnfinder3-3.0.0.tar.gz
| Download URL | bnfinder3-3.0.0.tar.gz |
|---|---|
| Size | 2.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / bnfinder3-3.0.0-py3-none-any.whl
| Download URL | bnfinder3-3.0.0-py3-none-any.whl |
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| Size | 99.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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